Miracle-dz/UniFAR-FTUs huggingface dataset:
Microcephaly associated with Zika virus infection – prevention, diagnosis and treatment

Symptoms of Zika virus (ZIKV) infection are usually mild and do not require aggressive management. For the same reason detection of ZIKV is not routinely performed. Unfortunately, consequences of inborn infections can be grave and lead to permanent disabilities. Association between ZIKV infection and microcephaly in infants was observed during the recent outbreaks. Range of clinical implications caused by microcephaly differs depending on the severity of condition. As targeted therapy is not available, management of future mothers is mostly focused on prevention of the infection. Most cases of ZIKV transmission are caused by vectors, therefore adequate use of protection against mosquitoes is essential. Planning pregnancy should be postponed in case of suspected infection – for 8 weeks and 6 months for women and men, respectively. Confirmation of infection is possible by detection of ZIKV, ZIKV RNA or any other antigen in bodily fluids or tissue and serological testing. Management of children with microcephaly requires advanced diagnosis considering their development and neurological condition together with early implementation of psychomotor therapy. The gravity of ZIKV infections in endemic populations manifests the need of public health programmes concerning family planning and monitoring ZIKV expansion to new territories.
Bitextor: a Free/Open-source Software to Harvest Translation Memories from Multilingual Websites

Bitextor is a free/open-source application for harvesting translation memories from multilingual websites. It downloads all the HTML files in a website, preprocesses them into a coherent format and, finally, applies a set of heuristics to select pairs of files which are candidates to contain the same text in two different languages (bitexts). From these parallel texts, translation memories are generated in TMX format using the library LibTagAligner, which uses the HTML tags and the length of text chunks to perform the alignment.
Approach to Capturing Design Requirements from the Existing Architectural Documents Using Natural Language Processing Technique

This paper describes an approach to utilizing natural language processing (NLP) to capture design requirements from the natural language-based architectural documents. In various design stage of the architectural process, there are several different kinds of documents describing requirements for buildings. Capturing the design requirements from those documents is based on extracting information of objects, their properties, and relations. Until recently, interpreting and extracting that information from documents are almost done by a manual process. To intelligently automate the conventional process, the computer has to understand the semantics of natural languages. In this regards, this paper suggests an approach to utilizing NLP for semantic analysis which enables the computer to understand the semantics of the given text data. The proposed approach has following steps: 1) extract noun words which mostly represent objects and property data in Korean Building Act; 2) analyze the semantic relations between words, using NLP and deep learning; 3) Based on domain database, translate the noun words in objects and properties data and find out their relations.
Ju n 20 11 Generation of modal and path entangled photons using domain engineered integrated optical waveguide device

Integrated optical devices are expected to play a promising role in the field of quantum information science and technology. In this paper, we propose a scheme for the generation of non-degenerate, co-polarized, modal and path entangled photons using a directional coupler and an asymmetric Ycoupler geometry in type 0 phase-matched, domain engineered lithium niobate (LN) waveguide. The nonlinearity in LN is tailored in such a way that quasi phase matching conditions for two different spontaneous parametric down conversion (SPDC) processes are obeyed simultaneously, leading to a modal and path-entangled state at the output. Assuming typical values of various parameters, we show, through numerical simulations, that an almost maximally entangled state is achievable over a wide range of waveguide parameters. For the degenerate case, the proposed scheme gives a NOON state for N = 2. The generated entangled photon pairs should have potential applications in quantum information schemes and also in quantum metrology. By appropriate domain engineering and component designing, the idea can be further extended to generate a hyperentangled and twophoton multi-path entangled states which may have further applications in quantum computation protocols.
Expression profile of male germ cell‐associated genes in mouse embryonic stem cell cultures treated with all‐trans retinoic acid and testosterone

Cells that morphologically and functionally resemble male germ cells can be spontaneously derived from ES cells. However, this process is inefficient and unpredictable suggesting that the expression pattern of male germ cell associated genes during spontaneous ES cell differentiation does not mimic the in vivo profiles of the genes. Thus, in the present study, the temporal profile of genes expressed at different stages of male germ cell development was examined in differentiating ES cells. The effect of all‐trans retinoic acid (RA) which is a known inducer of primordial germ cell (PGC) proliferation/survival in vitro and testosterone which is required for spermatogenesis in vivo on the expression of these genes was also determined. Each of the 12 genes analyzed exhibited one of four temporal expression patterns in untreated differentiating ES cells: progressively decreased (Dppa3, Sycp3, Msy2), initially low and then increased (Stra8, Sycp1, Dazl, Act, Prm1), initially decreased and then increased (Piwil2, Tex14), or relatively unchanged (Akap3, Odf2). RA‐treated cells exhibited increased expression of Stra8, Dazl, Act, and Prm1 and suppressed expression of Dppa3 compared to untreated controls. Furthermore, testosterone increased expression of Stra8 while the combination of RA and testosterone synergistically increased expression of Act. Our findings establish a comprehensive profile of male germ cell gene expression during spontaneous differentiation of murine ES cells and describe the capacity of RA and testosterone to modulate the expression of these genes. Furthermore, these data represent an important first step in designing a plausible directed differentiation protocol for male germ cells. Mol. Reprod. Dev. 76: 11–21, 2009. © 2008 Wiley‐Liss, Inc.
Crystal structure of 1-( 5-bromo-2-( 4-methoxy-phenyl )-1 H-indol-7-yl ) ethanone oxime , C 17 H 15 BrN 2 O 2

C17H15BrN2O2, monoclinic, P21/c, a= 14.4197(9) Å, b= 7.5423(5) Å, c= 14.9602(9) Å, β= 114.665(2)°, V = 1478.59(16) Å3, Z = 4, Rgt(F)=0.0196, wRref(F)=0.0526, T = 173(2) K.
QUALITATIVE AND QUANTITATIVE FEATURES OF WAVE BREAKING OVER A SUBMERGED BREAKWATER , AND EFFECTS ON NONLINEAR WAVE-STRUCTURE INTERACTION

Mario Calabrese, University of Napoli Federico II, Dept. Hydraulic and Environmental Engineering “Girolamo Ippolito”, Via Claudio 21, 80125, Napoli, ITALY. calabres@unina.it Mariano Buccino, University of Napoli Federico II, Dept. Hydraulic and Environmental Engineering “Girolamo Ippolito”, Via Claudio 21, 80125, Napoli, ITALY. buccino@unina.it Francesco Pasanisi, ENEA, Dept. Environment, Global Changes and Sustainable Development, Portici Research Center, Località Granatello, 80055, Portici (NA), ITALY. francesco.pasanisi@portici.enea. it
Price discrimination , switching costs and welfare : Evidence from the Dutch mortgage market ∗

In many markets with switching costs firms charge a lower price to new customers than to existing customers, a practice called history-based price discrimination. By exploiting a ban on history-based price discrimination in the Dutch mortgage market, this paper estimates the effects of history-based price discrimination on consumer surplus, profits and welfare. These effects are theoretically ambiguous because history-based price discrimination can make markets more or less competitive. I estimate a structural model, of which the supply side consists of a dynamic game. To deal with the curse of dimensionality, I employ techniques from machine learning to reduce the dimension of this game’s state space. I implement these techniques in a new estimation method for dynamic games, which I justify with a new solution concept: Sparse Markov Perfect Equilibrium (SMPE). In an SMPE, firms optimally pay attention to a subset of state variables instead of the full state. Therefore, the state space is considerably smaller than under the standard assumption of Markov Perfect Equilibrium. I show that the Lasso identifies which variables firms pay attention to. For an average mortgage, banning history-based price discrimination increases welfare by e125 per year and consumer surplus by e415 per year, while bank profits drop by e290 per year. ∗I thank Jaap Abbring, Victor Aguirregabiria, Eric Bartelsman, Elisabeth Honka, Alessandro Iaria, András Kiss, Alexander MacKay, Will Wang and Matthijs Wildenbeest and particularly Mauro Mastrogiacomo and José-Luis MoragaGonzalez for their many comments and suggestions. This paper has benefitted from presentations at the University of Toronto, VU Amsterdam, EARIE 2017 (Maastricht), the Tinbergen Workshop on Empirical IO (Amsterdam), the 2018 RES Symposium of Young Researchers (Brighton), the University of Tilburg, the 2018 North American Summer Meeting of the Econometric Society (Davis), the 2018 Barcelona GSE Summer Forum Workshop on Consumer Search and Switching Costs, the TI Jamboree (Amsterdam) and EARIE 2018 (Athens). Views expressed are those of the author and do not necessarily reflect official positions of De Nederlandsche Bank. In this paper use is made of data of the DNB Household Survey. †Vrije Universiteit Amsterdam and Tinbergen Institute. E-mail: j.h. thiel@vu.nl.
Early Cretaceous Archaefructus eoflora sp. nov. with Bisexual Flowers from Beipiao, Western Liaoning, China

Abstract Recently, whether Archaefructus has bisexual multi‐parted flowers or just inflorescences of unisexual flowers, and whether it is ancestral to all angiosperms or a derived eudicot have been debated. Here, from the same Yixian Formation, NE China, we report a new Archaefructus species, A. eoflora sp. nov., with the generic characteristics of dissected leaves and bisexual reproductive axes. It is entirely preserved with roots, rhizome, shoots and protogynous reproductive organs at different developmental stages. Its lateral and main fertile shoots form a pseudo‐indeterminate pattern, while the reproductive branches on the main shoot form a cymose inflorescence. Subtended by 1–2 bract‐like leaves, the section of stamen clusters changes into a much shorter section of carpels that have one row of orthotropous ovules. Significantly, one cluster bearing two carpels and one stamen between the two sections demonstrates a true bisexual flower, an important step of the origin of floral bisexuality, and the homology between the stamen and carpel. The complex reproductive axes represent a mix between flowers and inflorescences, and suggest that A. eoflora sp. nov. possesses the potential to evolve into a variety of diverse flower types as found in modern basal and early fossil angiosperms. A comparison with other two species also leads to a revision of the generic diagnosis.
Navigating Complex Models in Collaborative Work for Integrated ( and Sustainable ) Design

The paper discusses geometric-content-based search and classification techniques proposed in order to support collaborative, multi-disciplinary work on building design projects which utilize three-dimensional digital models (e.g. BIM, CAD, CAE, etc.) The rationale for employing such techniques – as an alternative to conventional assigned-attribute-based ones – is presented, based on observed difficulties experienced by users of digital models prepared by parties other than themselves. Also introduced are proposed methods drawing on the field of visual analytics for displaying the results of search and classification operations by augmenting the conventional system of views and tabular information in order to enable users to obtain greater insight into the contents of complex models. Included is a description of preliminary tests undertaken to assess the validity of some of these proposals, and results showing that model users are able to apply the proposed methods for retrieval and organization of information in models, thus overcoming some language-based and other common obstacles typically encountered with exchanged models in collaborative design processes.
Emotional Speech Conversion Using Deep Neural Networks

Recently, the study of Voice Conversion (VC) is being widely attracted attention in the field of speech processing. This technology can be widely applied in various application domains. For instances, speech enhancement, emotion conversion, speaking assistance , and other applications [1] are related to VC. Therefore, the need for this type of technology in various fields has continued to propel related research forward each year. Many statistical approaches have been proposed for spectral conversion during the last. Among these approaches, a Gaussian Mixture Model (GMM) is widely used. However, the features trained by GMM are usually low-dimensional features which may lost some important spectral details during making the speech spectra. The high-dimensional features, such as Mel Frequency Cepstral Coefficents MFCCs which are widely used in automatic speech and speaker recognition, are not compatible with GMM. There are also some approaches to construct non-linear mapping relationships, such as using artificial neural networks (ANNs) to train the mapping dictionaries between source and target features, using deep belief networks (DBNs) to achieve non-linear deep transformation [2]. These models improve the conversion of spectrum features. Nevertheless, most of the related works in respect to VC focus on the conversion of spectrum features, yet the seldom of those focus on F0 conversion, because F0 cannot be processed by a high-dimensional model neural networks (NNs) well. But F0 is one of the most important parameters for representing emotional speech.For emotional voice conversion, some prosody features, such as pitch variables and speaking rate have already been analyzed. There are also some works using a GMM-based VC technique to change the emotional voice [3]. As above-mentioned, recently acoustic voice conversion usually uses the non-linear suitable models (NNs, CRBMs, DBNs, RTDBNs) to convert the spectral features, it is difficult to use the GMM to deal with F0 made by these frameworks. To solve these problems, we proposed a new approach.
Apache Spark and Hadoop Based Big Data Processing System for Clinical Research

Usage of big data which is related to medical filed is gaining popularity among healthcare services and for clinical research. Medical field is one of the largest areas which is generating enormous amount and varieties of data. Traditional systems are incapable of handling such big data which is characterized by volume, variety, velocity, veracity and values (5 V’s). To process this vast amount of data we need a framework which can parallel process the data by utilizing the clusters of commodity hardware. This hardware should be reliable, faulttolerant. Apache Spark is a fast, in-memory data processing engine with elegant and expressive development APIs to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets. In the Hadoop framework we can develop MapReduce applications which can scale up from single node to thousands of machines. This paper investigates the big data which is used in clinical research to find out the patients with similar patterns and recommend the patients who requires intensive care. Also, the patients can be informed about the future predictions. In this paper we propose a ten-node hadoop cluster to run the distributed mapreduce algorithms. This algorithm shows an efficient data processing with big clinical data. These results can be used to provide efficient and personalized decisions for the patients. The data sets used for the results purpose is taken from MIMIC-III an open source database which is one of the largest repositories of data.
Value of the Hepatic Venous Pressure Gradient to Monitor Drug Therapy for Portal Hypertension: A Meta-Analysis

OBJECTIVES:The use of the hepatic venous pressure gradient (HVPG) to assess the efficacy of the pharmacological treatment of portal hypertension in cirrhosis is controversial. Our aim was to establish whether target HVPG reduction predicts variceal bleeding in cirrhotic patients receiving variceal bleeding prophylaxis.METHODS:Data sources were MEDLINE, EMBASE, Cochrane Controlled Trials Register, citation lists, and abstracts (most recent search March 2006). Cohorts of patients on drug therapy from randomized and nonrandomized studies correlating variceal bleeding and HVPG change were used. Heterogeneity was explored by metaregression analysis.RESULTS:Ten studies totaling 595 patients undergoing two HVPG measurements were identified. The RR of bleeding was lower in patients achieving an overall (HVPG ≤12 mmHg or decrease ≥20%) (0.27, 95% CI 0.14–0.52), complete (HVPG ≤12 mmHg) (0.48, CI 0.28–0.81), or partial (HVPG decrease ≥20%) (0.41, CI 0.20–0.81) response, with significant heterogeneity. Regression analysis identified the interval between the HVPG measurements significantly associated with the RR of bleeding. Heterogeneity was no longer significant after exclusion of an outlier trial, which showed the longest interval to HVPG remeasurement and the lowest quality score. Even considering nonevaluable patients because of bleeding as HVPG responders, the RR of bleeding was lower in overall responders than in nonresponders (0.66, CI 0.51–0.86). Overall response was associated with lower liver-related mortality (RR 0.58, CI 0.37–0.91). CONCLUSIONS:Current evidence supports the validity of HVPG end points to monitor drug therapy efficacy for variceal bleeding prophylaxis. HVPG monitoring also provides valuable prognostic information.
Population structure among breeding and wintering Long-tailed Ducks Clangula hyemalis in the Western Palearctic

We used gel electrophoresis of common proteins and alloenzymes to study genetic variability among Long-tailed Ducks breeding in the northeast European tundra and wintering in the Baltic Sea. The observed genetic variability in the studied breeding population was lower than in birds sampled on winter ground in the Baltic. We found a similar genetic structure among the breeding birds and certain samples from wintering grounds in the Baltic Sea. The wintering birds showed evidence of genetic structure between years, possibly resulting from winter movements of different subpopulations of Long-tailed Ducks in the Baltic Sea. These findings are consistent with results of field surveys of Long-tailed Ducks wintering in the Baltic Sea.
Bleeding Complications Associated with Peritoneal Dialysis Catheter Insertion

Objective To identify the incidence of bleeding complications associated with peritoneal dialysis catheter insertion. Design Retrospective review at a tertiary-care center of all double-cuffed Tenckhoff catheters placed surgically from 1 January 1992 to 1 October 2003 to identify the incidence of major bleeding complications occurring with catheter insertion. Major bleeding episodes were defined as ≥ 3% decline in hematocrit, or the need for surgical intervention or blood transfusion within 2 weeks of insertion. Results 292 catheters had been inserted in 263 patients. Six patients satisfied the criteria for a major bleeding event, for a major bleeding complication rate of 2%. Bleeding was associated with perioperative anticoagulation in 3 patients, uremia and thrombocytopenia in 1 patient, aspirin use and thrombocytopenia in 1 patient, and 1 patient experienced intraoperative bleeding. Coagulation parameters were not obtained prior to the procedure in 2 of the 6 patients. Conclusion The rate of serious bleeding complications related to catheter insertion is low and usually associated with anticoagulation. Holding anticoagulation therapy for a minimum of 24 hours during the postoperative period should eliminate much of the risk. Coagulation parameters should also be obtained and corrected preoperatively.
The Iberian and Macaronesian Vegetation Information System (SIVIM, www. sivim.info), five years of online vegetation’s data publishing

The SIVIM website was born six years ago. After a first stage of fast growing, the number of queries to its database has currently surpassed 100,000 per year. SIVIM offers its users the opportunity to access to large datasets facilitating phytosociological reviews, plant conservation management and taxonomic chorological studies, amongst others. Therefore, the number of scientific papers and books as well as other websites that cite our website is enlarged everyday. New data have been constantly brought into the project, which means that more than 130,000 phytosociological relevés are currently accessible, storing more than two million specific floristic observations. According to the Global Index of Vegetation-Plot Databases (GIVD), and taking into account the number of computerized relevés, SIVIM is the fourth largest database in the world. New analysis tools have been developed during this year, among them the on line calculation of species and syntaxa’s fidelity values, and a new remarkable tool to model the potential distribution of taxa and syntaxa (based on the maximum entropy algorithm), and their future trends in response to climate change (projections for the years 2020, 2050, and 2080). We should also emphasize ZamiaDroid, the latest integration within the project, which allows querying SIVIM by mobile devices (smartphones and tablets). With respect to programming, we implemented a new system so that users can report errors directly to SIVIM administrators. Concerning future actions, we aim to develop an online expert system in order to survey and classify vegetation communities and to open SIVIM to participative projects, especially those related to photography of plants and vegetation types. The SIVIM project has been funded by two research projects, CGL2006-13421-C04 (2007-2009) and CGL2009-13317-C03 (2010-2012), consecutively.
Analysis of Morphology and Infectivity of Measles Virus Particles

The measles virus (MeV) shows polymorphisms in morphology and viral particle size, however, the localization of viral proteins and infectivity in viral particles of different sizes have not been well characterized. To determine the localization of viral proteins and the infectivity of viral particles of different sizes, MeV-infected cells and their culture supernatant were analyzed by electron microscopy and membrane filter fractionation. The sizes of MeV-like particles were distributed between 50 and 1000 nm and the major distribution peak was found for particles with diameters of 350-400 nm. The MeV M protein was lined under the envelope of all MeV-like particles and membrane-filter-fractionated MeVs of all sizes showed infectivity. These findings suggest that MeV particles, particularly large particles, can be used as a vaccine by designing a chimera virus containing antigens or genome of other virus species.