Miracle-dz/UniFAR-FTUs huggingface dataset:
Using provenance to disambiguate locational references in social network posts

ABSTRACT Location data from social network posts are attractive for answering all sorts of questions by spatial analysis. However, it is often unclear what this information locates. Is it a point of interest (POI), the device at the time of posting, or something else? As a result, locational references in posts may get misinterpreted. For example, a restaurant check-in on Facebook only locates that POI. But, check-ins have been used to locate their poster, their poster’s home, or where the posting event occurred. Furthermore, post metadata terms like place and location are ambiguous, making information integration difficult. Consequently, analysts may not be using the correct locational references pertinent to their questions. In this paper, we attempt to clarify and systematize what can be located within social network post metadata. We examine locational references in post metadata documentation from several social networks. We identify three common groups of locatable things: places recorded in a poster’s profile, devices, and points of interest. We posit that these groups can be described using The World Wide Web Consortium’s (W3C) provenance ontology (PROV) – in particular, PROV’s agent, activity, and entity concepts. Next, we encode example post metadata with these descriptions, and show how they support answering questions such as which country’s citizens take the most Flickr photos of the Eiffel Tower? The theoretical contribution of this work is a taxonomy of locatable things derived from social network posts, and a tool-supported method for describing them to users.
Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation

We describe the neural machine translation (NMT) system developed at the National Research Council of Canada (NRC) for the Kazakh-English news translation task of the Fourth Conference on Machine Translation (WMT19). Our submission is a multi-source NMT taking both the original Kazakh sentence and its Russian translation as input for translating into English.
Precarious Bodies , Precarious Lives : Framing Disability in Alejandro González Iñárritu ’ s Cinema

Alejandro González Iñárritu is a salient example of contemporary Latin American directors who portray sick or disabled bodies as a visual and affective shorthand for different forms of violence. This article explores the relationship between his signature intersecting plots that join seemingly disconnected social spheres in a shared precariousness and his portrayal of illness, injury, and disability to suggest the violence and inequality that underpin these connections. I argue that González Iñárritu’s films frequently represent injured and disabled bodies to expose invisible connections that make social injustice possible as evidence of his using film as a political or ethical intervention that might erode the way contemporary global capitalism reproduces coloniality in everyday life. At the same time, his films illustrate the pitfalls of utilizing disabled bodies to realize this critique, thus shedding light on the ethical dimensions of this tendency to link disability with a critique of violence.
Potential-field inversion for a layer with 1 uneven thickness : the Tyrrhenian Sea density 2 model 3

7 Inversion of large-scale potential-field anomalies, aimed at determining density or 8 magnetization, is usually made in the Fourier domain. The commonly adopted ge9 ometry is based on a layer of constant thickness, characterized by a bottom surface 10 at a fixed distance from the top surface. We propose a new method to overcome this 11 limiting geometry, by inverting in the usual iterating scheme using top and bottom 12 surfaces of differing, but known shapes. Randomly generated synthetic models will 13 be analyzed, and finally performance of this method will be tested on real gravity 14 data describing the isostatic residual anomaly of the Southern Tyrrhenian Sea in 15 Italy. The final result is a density model that shows the distribution of the oceanic 16 crust in this region, which is delimited by known structural elements and appears 17 strongly correlated with the oceanized abyssal basins of Vavilov and Marsili. 18
FRAMING THE ‘ WAR ON DRUGS ’ IN THE PHILIPPINES Ekmel Geçer

The Philippine president Rodrigo Duterte has gained quite a reputation in both national and international sphere due to his controversial war against drugs. Accordingly, this article aims to determine the media frames used in reporting the issue. By employing mainly content analysis, three Philippine national newspapers (namely, Manila Bulletin, Philippine Daily Inquirer, and The Philippine Star) are analyzed to observe the repeating media frames and the depictions of actors involved in the drug war. It is revealed that the Law and Order, Crime and Justice Frame, Security and Defense frame, Conflict frame, and Responsibility frame are mainly used by the three newspapers. The study also reveals that media narration of the anti-drug campaign is rather neutral in tone and there is no observable extreme manipulation of stories favoring one group over another.
Information Production and Value Certi cation in Financial Intermediation : The E ¤ ects of Stapled Finance 1

Judicial criticism of stapled nancing  a nancial contracting innovation that improves the credibility of value certi cation by informed intermediaries in M&A but raises concerns on their conicted interests  exempli es the tension that arises when nancial intermediaries perform both an information production and a nancing function. Using hand-collected data on the buyouts of U.S. public rms by private acquirers during 2002-2011, and addressing endogeneity issues, we nd that stapled nancing has signi cant positive e¤ects on seller shareholder wealth and especially improves the prices for sellers that su¤er from greater adverse selection. Moreover, stapled nancing has signi cant positive certi cation e¤ects for the debt structure and loan costs of takeover nancing. However, banks o¤ering stapled nancing obtain higher commission rates in their success fees. In designing the stapled nancing contracts, nancial intermediaries therefore trade o¤ ex post lending e¢ ciency against higher expected advisory fees. Keywords Stapled nance, Financial intermediation, Information production, Advisory fees, Endogeneity JEL classi cation codes: G34, G24, G14
Evaluation of ( MnxFe 1x ) 2 TiyOz particles as oxygen carrier for Chemical Looping Combustion

The present work accomplishes a screening of the performance of Mn-Fe-Ti based oxygen carriers, prepared with different Mn/(Mn+Fe) molar ratios in the general formula (MnyFe1-y)Ti0.15Ox. The oxygen carriers were prepared by physical mixing followed by pelletizing under pressure, calcining, crushing and sieving in the 100-300 μm particle size interval. The characterization of the carriers is based on the evaluation of their crushing strength, magnetic properties and reduction and oxidation behavior through TGA experiments at temperatures suitable for the CLC process (i.e. 850-950 oC). In addition, the main chemical structures of the Mn-Fe-Ti system were identified as a function of the Mn/(Mn+Fe) molar ratio. Oxygen uncoupling property was analyzed by reduction under a N2 atmosphere and the capability to interact with fuel gases was analyzed by using CH4, H2 and CO. Results indicate that the (MnyFe1-y)Ti0.15Ox oxygen carriers with Mn/(Mn+Fe) molar ratios of 0.55-0.87 have very promising properties for the CLC process with solid fuels. © 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the organizing committee of GHGT-13.
Digital Media Centre 2010-0101 Using Crowdsourcing for Labelling Emotional Speech Assets

The success of supervised learning approaches for the classification of emotion in speech depends highly on the quality of the training data. The manual annotation of emotion speech assets is the primary way of gathering training data for emotional speech recognition. This position paper proposes the use of crowdsourcing for the rating of emotion speech assets. Recent developments in learning from crowdsourcing offer opportunities to determine accurate ratings for assets which have been annotated by large numbers of non-expert individuals. The challenges involved include identifying good annotators, determining consensus ratings and learning the bias of annotators.
YOLOv 3 CT Lesion Detection in Computed Tomography Images using YOLOv 3 and Domain Knowledge

Lesion detection in computer tomography (CT) images using deep neural networks (DNN) have been researched in computer-aided detection area. A dataset of large-scale annotated CT images, called DeepLesion, has also been published. However, the conventional lesion detection method needs many false positives per a image (FPI) to realize high sensitivity. Besides, it uses a constant CT value for all images in DeepLesion, thus there is a divergence from the medical site. On the other hand, one after another object detection methods have been proposed in the DNN community. In this study, we carried out experiments for FPI to decrease using You Only Look Once version 3; a novel object detection method. We also use medical setting CT value each image to bring it closer to the site. The experimental results show that our method is more accurate than conventional one in the sense of the sensitivity given same average FPI.
Encoder-decoder models for latent phonological representations of words

We use sequence-to-sequence networks trained on sequential phonetic encoding tasks to construct compositional phonological representations of words. We show that the output of an encoder network can predict the phonetic durations of American English words better than a number of alternative forms. We also show that the model’s learned representations map onto existing measures of words’ phonological structure (phonological neighborhood density and phonotactic probability).
Multidirectional random walk: an alternative to local simulation of Gaussian Data. In: Nith International Geostistics Congress, 2012, Oslo

Various geostatistical simulation techniques rely on the multiGaussian model. These methods generate equally probable realisations of a Gaussian variable, honouring the first two statistical moments and the spatial variability function g(h) of the Gaussian variable. Currently existing techniques are time consuming to implement and require advanced computational hardware to process real dataset and models with millions of blocks. The paper proposes an alternative simulation technique based on a multidirectional random walk (RW) of Gaussian variables. This method is based on random walks which consider the action of a particle along random directions within a real line. The position of the particle in a determined distance h is described by independent random increments, each one with the same probability, of 50%, to be equal f or –f, where f is the scaling factor of the increments. The increments at a certain distance h have a normal distribution, with mean zero and variance proportional to the distance and to f2. The simulation technique proposed is based on random walks starting at a conditioning point (x) and moving to a simulated point (x0), spaced by h, generating an error Yrw(h) as a function of distance h. This error is added to the value Y(x) to obtain the simulated value Ysrw(x+h). For multiple RW from different conditioning points (xi), converging to the same point (x0), the final result of the RW simulation, Ysrw(x0), is the simple kriging estimation of all RW simulations from the conditioning points, Ysrw(xi+hi)). The experimental results show this new methodology honoured both statistical moments of the Gaussian conditioning points faster than sequential algorithms. The scaling factor f can be used for future local simulations (LS) without requiring global simulations (GS). 1 VALE Ferrous Department, Av de Ligação, 3580 – Nova Lima/MG – Brazil, Diniz.Ribeiro@vale.com 2 VALE Ferrous Department, Av de Ligação, 3580 – Nova Lima/MG – Brazil, Evandro.Cunha@vale.com 3 UFRGS, Av. Bento Golçalves, 9500 – Porto Alegre/RS – Brazil, Jfelipe@ufrgs.br 4 VALE Ferrous Department, Av de Ligação, 3580 – Nova Lima/MG – Brazil, Debora.Roldao@vale.com 5 UFMG, Av. Antonio Carlos, 6627 – Belo Horizonte/MG – Brazil, Tomasbft@gmail.com
Project Design Principles And Applications Using Universal Design Learning (Udl)

This paper will present a structured course in student’s project design and applications using the concept of Universal Design Learning (UDL). Universal Design is an approach to designing course instruction, materials, and content to benefit people of all learning styles without adaptations or retrofitting. Universal design provides equal access to learning, not just simply equal access to information. Universal design allows the students to control the method of accessing information while the instructor monitors the learning process and initiates any beneficial methods.
Design of a digital filter bank based on hierarchical data-path resource-sharing on FPGAs

This paper presents a large digital circuit design methodology for a digital filter bank circuit on an area limited FPGA (Field Programmable Gate Array). The design is divided into two parts: a data-path part for data processing and a control part for controlling data-path operations. The data-path part is designed by using a hierarchical resource-sharing technique to reduce the circuit size. The set of functions describing the circuit behavior is translated into hierarchical data flow graphs (DFGs). Then the DFGs are hierarchically grouped into the same structure DFGs to share the same resources from large to small groups. The slower operation of the circuit after resource-sharing is of concern. In the control part, the FSM (Finite State Machine) in Moore machine format is used for controlling the correct sequence of the resource-sharing in the data-path part. The designed circuit was tested on a Xilinx FPGA SPARTAN-3 XCS4000-5FG676. The circuit worked correctly compared to the calculation results from MATLAB. From the synthesis results, the circuit size is 44% smaller, and the cycle time is 30% slower, compared to the original circuit without resource-sharing.
Picosecond Time-resolved X-ray Diffraction at the APS Sector 7 ( MHATT-CAT )

Sub-picosecond x-rays can be used to resolve motion on the time scale of molecular dynamics. This is considerably shorter than the typical 50–100 ps pulse duration from a synchrotron. There have been a number of recent attempts to produce ultra-fast xrays using intense laser radiation including K α radiation from laser induced plasmas [1], Thompson scattering of a laser pulse from a relativistic electron beam [2], ponderomotive scattering of the electron beam from a laser pulse in a synchrotron [3], and the interruption of diffraction from a Bragg mirror with rapid heating from a short laser pulse [4]. Fourth generation (free-electron laser based) sources will produce ultra short bursts of x-rays from the electron bunches from a linear accelerator [5].
Improving alumni network efficiency with machine learning

Universities tend to rely on alumni organizations for providing long-term support for the institution and keeping track of successful students. Powered by network connectivity and recent advance in the area of social network research it's custom to have these organizations operating mostly in internet thus evolving into a dedicated small social networks. In this paper we analyze how machine learning can be used to improve efficiency of alumni organizations. SVM and K-means clustering algorithms are examined as tools that can not only give valuable information about members of the organization but also improve the level of support provided to the university by targeting the most appropriate alumni members for a particular event or project. Sample implementation is provided with demonstration on information from sample alumni networks.
DP Long-term care insurance with family altruism : Theory and empirics

This paper studies long-term care (LTC) insurance in the presence of family altruism. In the rst, theoretical, part of the paper, we explore whether and how family solidarity a ects the application to LTC of Arrow's (1963) theorem of the deductible, which is shown to apply in models without family by a number of papers. We consider two types of family altruism, perfect and imperfect, and nd that Arrow's theorem generally holds, even though some departures from the standard model and some di erences between the types of altruism exist. Our analysis highlights a complex interplay between parents' insurance and their children's aid, which implies that a number of intuitive conjectures are not always veri ed. For instance, while one would expect the deductible to be increasing in the child's degree of altruism, this is unambiguously veri ed only under certain conditions. Given the ambiguity of some results, in the second part of the paper, we resort, more generally, to an empirical test of the relation between LTC insurance and children's altruism using the data from the Health and Retirement Study (HRS). Our ndings suggest that children's altruism has a negative impact on parents' LTC insurance purchases, even though some results also point to this relationship being more complex than one might think. Keywords: long-term care insurance, deductible theorem, altruism, family aid JEL Classi cation: D64, I13, J14 *Financial support from the Belgian Science Policy O ce (BELSPO) research project CRESUS and the Chaire Marché des risques et création de valeur of the FdR/SCOR is gratefully acknowledged. CREPP, University of Liege, e-mail: justina.klimaviciute@ulg.ac. be. CREPP, University of Liege, CORE, Université Catholique de Louvain and PSE, e-mail: p.pestieau@ulg.ac. be. CREPP, University of Liege, e-mail: jerome.schoenmaeckers@ulg.ac. be.
Modeling of Cognitive Process Using Complexity Theory Methods

The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using multiscale, multifractal and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. The cognitive process is proposed to be regarded as a separate implementation of an individual cognitive trajectory, which can be represented as a time series and to investigate its static and dynamic features by the methods of complexity theory. Prognostic possibilities of the complex systems theory will allow to correct the corresponding pedagogical technologies.
FACTORS INFLUENCING THE IMPLEMENTATION OF OUTSOURCING STRATEGY: A CASE STUDY OF KENYATTA NATIONAL HOSPITAL IN NAIROBI, KENYA

The purpose of the study was meant to evaluate the influence of competitive bidding on implementation of outsourcing strategy. A census method was adopted where all the 40 staff involved in Procurement Department were issued with questionnaires. Literature was reviewed to seek various opinions and views from different authors in the area under study. The theories such as transaction cost theory and resource dependency theory were reviewed to theoretical framework to give general insights on the different variables influencing implementation of outsourcing strategy. The conceptual framework was presented giving relationship between the dependent and independent variable. Data collected was analysed using both descriptive and inferential statistical tools and SPSS version 22.0 was used to process the collected data which was then to be presented in form of tables. Correlation analysis was used to describe the strength of the linear relationship between two variables. The findings of the study revealed that the competitive bidding plays a significant influence on implementation of outsourcing strategy in Public Entities. The management should adopt outsourcing as a strategic initiative to enhance competitiveness, performance and responsiveness of the various processes. The management should provide the required support through monitoring and control of the quality of service delivery to realize the designed benefits of cost reduction, improved efficiency and increased performance by effectively managing the contracted party. It is also recommends that management outsources processes that exhibit high manpower costs and demonstrate inefficiency in the various levels of the value chain. These shall deliver cost leadership through effective contract management. It also recommends that outsourcing should not only be subjected to the traditionally non-core activities, but the whole of those activities that a third party can deliver at lower cost than can be done in-house, with adequate management control on quality of delivery.
Do Households Anchor their Inflation Expectations? Evidence from a Quantitative Survey on Italian Consumers

The purpose of the present paper is to investigate empirically the anchoring behavior of households as they form their expectations about the inflation. We consider a number alternative anchors; such as the inflation t argets set by the monetary authorities, professional’s forecasts, the current inflation rate and the households’ own perception of current inflation rate. As the acquis ition of relevant information is costly for households, we use the recent framework of ‘sti cky information expectations’ to model the households’ anchoring behavior when formi ng their expectations. The empirical analysis is undertaken using novel monthl y survey-base dataset of households’ opinions of inflation compiled using It alian households. This version: July 5 , 2010 () School of Business and Economics, University of S wansea, Singleton Park, Swansea, SA2 8PP, United Kingdom () Department of Economics, University of Bologna, S trada Maggiore 45, 40125 Bologna, Italy () Business and Consumers Survey Unit, ISAE, Rome, I taly for the most updated version link: http://www2.dse. unibo.it/golinelli/research/EGMcire tNY.pdf