Miracle-dz/UniFAR-FTUs huggingface dataset:
Realistic Multimedia Tools based on Physical Models: I. The Spectrum Analyzer and Animator (SA2)

The present sequence of two articles reports on a custom-built toolkit implementing a technique similar to multi-directional medical tomography to simulate and visualize the composite 3D structure of winds from hot close double stars. In such hot binaries, the light sources scanning and probing the composite wind volume are the bright "surfaces" (photospheres) of the individual stars. Then, as the Keplerian orbit is traced out and the geometry presented to the observer varies, each star constitutes an analyzer upon its companion's wind. In contrast to medical tomography, however, these targets are too far to be resolved spatially so we resort to modeling the ultraviolet (UV) spectral lines of certain wind ions (e.g., N+4, Si+3, C+3) whose shapes vary with Keplerian phase as the stars revolve around their common centre of mass. The flagships of the toolkit are the Spectrum Analyzer and Animator (SA 2 ) and the Binary 3D Renderer (B3dR). The SA 2 is the subject of the present article (paper I). It automates (a) the derivation of light curves from the observed spectra and (b) the generation of synthetic binary wind-line profiles which reproduce the morphologies and variabilities of the observed wind profiles. The second tool, the B3dR is discussed in paper II.
Design and characterisation of an EBG imaging array at sub-millimetre wave frequencies

In this paper the design and characterisation of an imaging array at 500 GHz based on EBG technology is described. The array is formed by 7 detecting elements placed on a top of a silicon woodpile and uses a paraboloidal mirror as refractive element. Good agreement was obtained between predicted and measured performances.
ECoFFeS: A Software Using Evolutionary Computation for Feature Selection in Drug Discovery

Feature selection is of particular importance in the field of drug discovery. Many methods have been put forward for feature selection during recent decades. Among them, evolutionary computation has gained increasing attention owing to its superior global search ability. However, there still lacks a simple and efficient software for drug developers to take advantage of evolutionary computation for feature selection. To remedy this issue, in this paper, a user-friendly and standalone software, named ECoFFeS, is developed. ECoFFeS is expected to lower the entry barrier for drug developers to deal with feature selection problems at hand by using evolutionary algorithms. To the best of our knowledge, it is the first software integrating a set of evolutionary algorithms (including two modified evolutionary algorithms proposed by the authors) with various evaluation combinations for feature selection. Specifically, ECoFFeS considers both single-objective and multi-objective evolutionary algorithms, and both regression- and classification-based models to meet different requirements. Five data sets in drug discovery are collected in ECoFFeS. In addition, to reduce the total analysis time, the parallel execution technique is incorporated into ECoFFeS. The source code of ECoFFeS can be available from https://github.com/JiaweiHuang/ECoFFeS/.
Prophylaxis of thromboembolic disease with RO-11 (ROVI), during abdominal surgery. EMRO1 (Grupo Fstudio Multicintrico RO-11).

BACKGROUND/AIMS We carried out a prospective, multicenter, double-blind, controlled and randomized trial, in two groups of patients (n = 100 each) with a low/moderate risk of Deep vein thrombosis (DVT), who underwent elective abdominal surgery. The aim of the study was to evaluate the efficacy and safety of RO-11 at a daily s.c. dose of 2,500 anti-FXa IU, compared with s.c. 5,000 IU of calcium unfractionated heparin (UH). MATERIAL AND METHODS The endpoints for efficacy were the reduction of the frequency of DVT and Pulmonary embolism (PE). Safety was assessed by means of major and minor bleeding complications, allergy and thrombocytopenia < or = 50,000/mm3. RO-11 is a low molecular mass heparin (LMMH) (3,600 Da). RO-11 at a s.c. dose of 2,500 anti F-Xa IU combined with placebo experimental group (EG), was compared to 5,000 anti F-Xa IU of s.c. UH 12 hourly control group (CG), for 7 days. RESULTS There were no cases of DVT, PE or death in any group. The requirement of transfusion, re-operation because of bleeding, and the frequency of wound hematoma were higher in the CG. The size of the wound hematoma was similar but tended to be larger in the CG. The number and size of hematoma at the injection site were higher in the CG. The mean anti F-Xa levels in the EG were similar throughout the treatment. One patient (EG) showed a moderate thrombocytopenia without thrombosis or bleeding. CONCLUSION RO-11 at a single s.c. dose of 2,500 anti F-Xa IU is as efficient as, and safer than, UH in the prevention of thrombosis or related to abdominal surgery.
Design of a Fuzzy Controller With Fuzzy Swing-Up and Parallel Distributed Pole Assignment Schemes for an Inverted Pendulum and Cart System

In this paper, the inverted pendulum and cart system is effectively approximated by a Takagi-Sugeno (T-S) fuzzy model in a small range of angle near its equilibrium state. According to the proposed (T-S) fuzzy model of the inverted pendulum and cart system, a fuzzy controller designed with the parallel distributed pole assignment scheme is adopted to position the pendulum and cart at the desired states. The nonlinear friction is also considered. Moreover, a fuzzy swing-up controller is developed to swing up the pendulum on a limited rail under the constraints of control actions. Further, the stability of the inverted pendulum and cart system with the fuzzy parallel distributed pole assignment controller is studied. Simulation results are included to indicate the effectiveness and robustness of the proposed fuzzy controller.
Viscovery: Trend Tracking in Opinion Forums based on Dynamic Topic Models

Opinions in forums and social networks are released by millions of people due to the increasing number of users that use Web 2.0 platforms to opine about brands and organizations. For enterprises or government agencies it is almost impossible to track what people say producing a gap between user needs/expectations and organizations actions. To bridge this gap we create Viscovery, a platform for opinion summarization and trend tracking that is able to analyze a stream of opinions recovered from forums. To do this we use dynamic topic models, allowing to uncover the hidden structure of topics behind opinions, characterizing vocabulary dynamics. We extend dynamic topic models for incremental learning, a key aspect needed in Viscovery for model updating in near-real time. In addition, we include in Viscovery sentiment analysis, allowing to separate positive/negative words for a specific topic at different levels of granularity. Viscovery allows to visualize representative opinions and terms in each topic. At a coarse level of granularity, the dynamic of the topics can be analyzed using a 2D topic embedding, suggesting longitudinal topic merging or segmentation. In this paper we report our experience developing this platform, sharing lessons learned and opportunities that arise from the use of sentiment analysis and topic modeling in real world applications.
Advanced MIMO VHDR MB-OFDM approaches

In this paper we present the specific MIMO VDHR MB-OFDM system approaches developed within the FP6 project PULSERS II. We propose a spatially multiplexed system model, architectures and parameters for an enhanced PHY of current WiMedia devices. Simulation and validation results acquired by an offline MIMO UWB testbed serve to demonstrate the potential of spatially multiplexed MIMO VHDR MB-OFDM to boost the capacity and range of very high data rate communications.
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations

Revealing the implicit semantic relation between the constituents of a noun-compound is important for many NLP applications. It has been addressed in the literature either as a classification task to a set of pre-defined relations or by producing free text paraphrases explicating the relations. Most existing paraphrasing methods lack the ability to generalize, and have a hard time interpreting infrequent or new noun-compounds. We propose a neural model that generalizes better by representing paraphrases in a continuous space, generalizing for both unseen noun-compounds and rare paraphrases. Our model helps improving performance on both the noun-compound paraphrasing and classification tasks.
Visiting Styles in an Art Exhibition Supported by a Digital Fruition System

We investigate the user dynamics related to the interaction with artworks in an exhibition. In a first step, we characterize visitors in a cultural heritage scenario and after, we study how these interact with available technologies. Accordingly with the fact that the technology plays a crucial role in supporting spectators and enhancing their experiences, the starting point of this research is the analysis of real data coming from visitors of the art exhibition named The Beauty or the Truth that was located in Naples, Italy. The event was equipped with several technological tools arranged within the halls of the exhibition, with the aim to create a novel metaphor that stimulates the user enjoyment and the knowledge diffusion. The collected log files from a suitable expert software system are used in a flexible framework in order to analyse how the supporting pervasive technology influence and modify behaviours and visiting styles. Finally, we carried out some experiments to exploit the clustering facilities for finding groups that reflect visiting styles. The obtained results have revealed interesting issues also to understand hidden aspects in the data and unattended in the analysis.
Automatic Extraction of BEL-Statements based on Neural Networks

The automatic extraction of biomedical relations and entities from text has become extremely important in systems biology. For coding the extracted information, the Biological Expression Language (BEL) can be used. A BELstatement consists of a subject (entity), a predicate (type of relationship), and an object (entity or a further BEL-statement). This paper describes a system based on neural networks (NNs) to extract BEL-statements in the context of the BioCreAtivE 2017 track 3 (task 1) challenge. In our approach, the overall problem is divided into four subtasks: (i) the detection of named entities (NER), (ii) deciding whether a pair of entities participate in a relation, (iii) determining which of the entities participating in a relation is the subject/object entity, and (iv) extracting the type of the relation. By merging the solutions of the subtasks, the BELstatements are generated. Except for the named entity recognition, (convolutional) NNs were used to solve the tasks. The results show that a neural net based approach is reasonable to use for the extraction of biomedical relations. The limitations of our system are related to the small size (compared to other NN-based applications) of the data set. We argue that by overcoming this limitation, promising results can be expected from NN-based approaches in future. Keywords— Text Mining; Convolutional Neural Network; Relation Extraction; Biological Expression Language (BEL)
Cytokine profile of myelin basic protein—reactive T cells in multiple sclerosis and healthy individuals

Myelin basic protein (MBP)‐reactive T cells have been implicated in the autoimmune pathogenesis of multiple sclerosis (MS). In this study, we examined the cytokine profile of 531 primary MBP‐reactive T‐cell lines and 72 independently established clones from 32 patients with MS and 18 healthy controls (NS) by using highly sensitive enzyme‐linked immunosorbent assays. An increased number of primary T‐cell lines producing interferon‐γ (IFNγ) and/or interleukin‐4 (IL‐4) in response to MBP were found in patients with MS compared with controls. No distinct Th1 or Th2 subtypes could be demonstrated among the MBP‐reactive clones. IL‐4 was more frequently observed among MS‐derived clones. Clones derived from MS patients produced increased levels of IL2, IL4, tumor necrosis factor‐α (TNFα), IFNγ, and IL‐10, but not IL‐6. It is interesting that MBP‐reactive T cells from MS patients expressing the disease‐associated HLA‐DRBI 15 allele produced increased quantities of TNFα, a cytokine suggested to play an important role in inflammation and demyelination. When challenged with either MBP or a bacterial superantigen, the clones expressed similar levels of the proinflammatory cytokine IFNγ. Our study suggests a functional difference in T‐cell responses to MBP in patients with MS compared with healthy individuals, and provides further insights into the role of MBP‐reactive T cells and their cytokine profile in the inflammatory processes of MS.
Deforestation detection in Amazon rainforest with multitemporal X-band and p-band sar images using cross-coherences and superpixels

Forest monitoring is a major concern today due to climate changes, conservation of fauna and flora and to the lack of water. Therefore, several environmental monitoring techniques have been developed and used to detect changes in the scenes. The use of SAR (synthetic aperture radar) seems appropriate to detect changes due to its independence of atmospheric and lighting conditions. The SAR change detection is a process that uses SAR images acquired in the same geometric conditions but in different moments (multitemporal) to identify changes in the surface that occurred between two acquisitions. This paper presents a new method of change detection in multitemporal SAR images using X- and P-band SAR images simultaneously to calculate a change detection indicator image (binary mask) based in the coherences between all the images used as attributes calculated from superpixel segments to define a change detection neural network. Experimental tests were conducted using real SAR data obtained by the airborne sensor OrbiSAR-2 from Bradar in the Amazon Forest (Equatorial Rain Forest) and the results showed good quality detections.
Caveolin‐1 expression is maintained in rat and human astroglioma cell lines

Caveolin‐1 is the principal structural and functional component of caveolae, a plasmalemmal compartment that has been proposed to sequester lipid and protein components that participate in transmembrane signal transduction processes. Multiple studies reveal a reduction in the expression level of caveolin‐1 mRNA and protein in many carcinomas as well as transformed cells. The human caveolin‐1 gene is localized to a suspected tumor suppressor locus (7q31.1). Collectively, these data have been taken to imply that caveolin‐1 may function in a tumor suppressor capacity. To determine if a reduction in the expression level of caveolin‐1 mRNA and protein accompanied the transformation of astrocytes, we undertook studies of two transformed rat astroglial cell lines, C6 and DI TNC1, as well as several cell lines derived from human glioblastoma tumors: T98G, U87MG, U118MG, U138MG, and U373MG. Ultrastructural, immunolocalization, immunoblot, and Northern blot analyses demonstrated that caveolin‐1 message and protein were expressed in all rat and human glioma cells. The localization pattern, buoyant density, and detergent‐insolubility property of caveolin‐1 protein were indistinguishable from that determined for nontransformed type 1 astrocytes in culture. Nucleotide sequence analyses of caveolin‐1 cDNAs indicate that mutations are not present in the caveolin‐1 sequence in any of the glioma cell types. Taken together with previous analyses, these data indicate that, at least for astrocytes, the process of transformation in and of itself is not solely sufficient to reduce the level of caveolin‐1 expression, and that caveolin‐1 expression in and of itself is not solely sufficient to prevent the acquisition of a transformed phenotype. GLIA 37:275–290, 2002. © 2002 Wiley‐Liss, Inc.
The Concert Life in Nineteenth-Century London Database Project

Selected from papers given at the third biennial conference on Music in Nineteenth-Century Britain, this volume, in common with its two predecessors, reflects the interdisciplinary character of the topic. The introductory essay by Julian Rushton foregrounds some of the questions that are key to this area of study: what is the nineteenth century? what is British music? and did London influence the continent? The essays which follow are divided into broad thematic groups covering aspects of gender, church music, national identity, and local and national institutions. This collection illustrates that while nineteenth-century British music studies is still in its infancy as a field of research, it is one that is burgeoning and contributing to our understanding of British social and cultural life of the period. Contents: Introduction; Learning in London, Julian Rushton; Issues of gender: 'Leadership of fashion in musical thought': the importance of Rosa Newmarch in the context of turn-of-the-century British styles of music appreciation, Charlotte Purkis; Hym(n)ing: music and masculinity in the early Victorian church, Grant Olwage; The construction of a cultural icon: the case of Jenny Lind, George Biddlecombe; Church music: 'Hark an awful voice is sounding': redefining the English Catholic hymn repertory through The Westminster Hymnal of 1912, Thomas Muir; Ancient and modern in the work of Sir John Stainer, Nicholas Temperley; '. the highest point up to that time reached by the combination of Hebrew and Christian sentiment in music', Peter Horton; National identity: 'Unfurl the flag and Federate': flags as a representation of patriotism and nationalism in Australian Federation songs, 1880–1906, Peter Campbell; English national identity and the comic operas of Gilbert and Sullivan, Derek Scott; Singing the songs of Scotland: the German musician Johann Rupprecht Durrner and musial life in 19th-century Edinburgh, Barbara Eichner; National and local institutions: Another string to his bow: the composer conducts, Duncan Barker; Vincent Novello and the Philharmonic Society of London, Fiona Palmer; The Oxford commemorations and 19th-century British festival culture, Susan Wollenberg; One equal music: the emergence of the Royal College of Music, Giles Brightwell; The family von Glehn, Valerie Langfield; Index.
Billion-Scale Network Embedding with Iterative Random Projection

Network embedding, which learns low-dimensional vector representation for nodes in the network, has attracted considerable research attention recently. However, the existing methods are incapable of handling billion-scale networks, because they are computationally expensive and, at the same time, difficult to be accelerated by distributed computing schemes. To address these problems, we propose RandNE (Iterative Random Projection Network Embedding), a novel and simple billion-scale network embedding method. Specifically, we propose a Gaussian random projection approach to map the network into a low-dimensional embedding space while preserving the high-order proximities between nodes. To reduce the time complexity, we design an iterative projection procedure to avoid the explicit calculation of the high-order proximities. Theoretical analysis shows that our method is extremely efficient, and friendly to distributed computing schemes without any communication cost in the calculation. We also design a dynamic updating procedure which can efficiently incorporate the dynamic changes of the networks without error aggregation. Extensive experimental results demonstrate the efficiency and efficacy of RandNE over state-of-the-art methods in several tasks including network reconstruction, link prediction and node classification on multiple datasets with different scales, ranging from thousands to billions of nodes and edges.
Localization of Human Immunodeficiency Virus Type 1 Gag and Env at the Plasma Membrane by Confocal Imaging

ABSTRACT Budding of lentiviruses occurs at the plasma membrane, but the preceding steps involved in particle assembly are poorly understood. Since the Gag polyprotein mediates virion assembly and budding, studies on the localization of Gag within the cell should provide insight into the mechanism of particle assembly. Here, we utilize biochemical fractionation techniques as well as high-resolution confocal imaging of live cells to demonstrate that Gag is localized at the plasma membrane in a striking punctate pattern. Mutation of the N-terminal myristoylation site results in the formation of large cytosolic complexes, whereas mutation of the N-terminal basic residue cluster in the matrix domain redirects the Gag protein to a region partially overlapping the Golgi apparatus. In addition, we show that Gag and Env colocalize at the plasma membrane and that mistargeting of a mutant Gag to the Golgi apparatus alters the pattern of surface expression of Env.
The effectiveness of Internet‐based blood glucose monitoring system on improving diabetes control in adolescents with type 1 diabetes

Landau Z, Mazor‐Aronovitch K, Boaz M, Blaychfeld‐Magnazi M, Graph‐Barel C, Levek‐Motola N, Pinhas‐Hamiel O. The effectiveness of Internet‐based blood glucose monitoring system on improving diabetes control in adolescents with type 1 diabetes.
ALLOMETRY OF MALE GENITALIA IN A SPECIES OF SOLDIER BEETLE: SUPPORT FOR THE ONE‐SIZE‐FITS‐ALL HYPOTHESIS

Abstract Hypotheses about the functions of the male genitalia and the male scape in insects were tested by measuring the slopes of allometric relations in six populations of Chauliognathus scutellaris. All allometric relations used elytron length as the indicator of overall body size. Male genitalia have lower slopes than male pronota (a structure not involved in reproduction), male scapes (secondary sexual characters) have higher slopes than male pronota, and female scapes have slopes that are not different from the slopes of female pronota. These results support Eberhar's one‐size‐fits‐all hypothesis regarding the size of male genitalia in insects, and they raise questions about the role of the male scape in reproductive activities.
Limiting behavior of 3-color excitable media on arbitrary graphs

Fix a simple graph $G=(V,E)$ and choose a random initial 3-coloring of vertices drawn from a uniform product measure. The 3-color cycle cellular automaton is a process in which at each discrete time step in parallel, every vertex with color $i$ advances to the successor color $(i+1)$ mod 3 if in contact with a neighbor with the successor color, and otherwise retains the same color. In the Greenberg-Hastings Model, the same update rule applies only to color 0, while other two colors automatically advance. The limiting behavior of these processes has been studied mainly on the integer lattices. In this paper, we introduce a monotone comparison process defined on the universal covering space of the underlying graph, and characterize the limiting behavior of these processes on arbitrary connected graphs. In particular, we establish a phase transition on the Erd\"os-R\'enyi random graph. On infinite trees, we connect the rate of color change to the cloud speed of an associated tree-indexed walk. We give estimates of the cloud speed by generalizing known results to trees with leaves.