Miracle-dz/UniFAR-FTUs huggingface dataset:
Identiﬁcation en ligne de systèmes commutants à structure variable

Résumé—La contribution de ce papier consiste dans la proposition d’une méthode d’identification structurée de systèmes multivariables (MIMO). Cette méthode ne fait pas intervenir de Décomposition en Valeurs Singulière (DVS) contrairement la majorité des méthodes des sous espaces disponibles. Couplée à une technique de détermination de l’ordre, cette méthode est utilisée récursivement pour l’i dentification de systèmes commutants avec ou sans changement d’ordre. Des résultats de simulation concluants conforten t notre proposition. Mots-clés—Identification, Estimation d’ordre, Méthodes des Sous-espaces, Systèmes Hybrides, Systèmes commutants.
Catalogue of the field contact binary stars

A catalogue of 361 galactic contact binaries is presented. Listed contact binaries are divided into five groups according to the type and quality of the available observations and parameters. For all systems the ephemeris for the primary minimum, minimum and maximum visual brightness and equatorial coordinates are given. If available, photometric elements, (m1 +m2) sin 3 i, spectral type, parallax and magnitude of the O’Connell effect are also given. Photometric data for several systems are augmented by new observations. The quality of the available data is assessed and systems requiring modern lightcurve solutions are selected. Selected statistical properties of the collected data
Title : Spatial scale structure soil bacterial communities across an Arctic landscape 1 Running Title : Spatial scale structure Arctic soil bacterial communities 2

Bacterial community composition is largely influenced by environmental factors, and this 16 applies to the Arctic region. However, little is known about the role of spatial factors in 17 structuring such communities. In this study, we evaluated the influence of spatial scale on 18 bacterial community structure across an Arctic landscape. Our results showed that spatial 19 factors accounted for approximately 10 % of the variation at the landscape scale, equivalent 20 to observations across the whole Arctic region, suggesting that while the role and 21 magnitude of other processes involved in community structure may vary, the role of 22 dispersal may be stable globally in the region. We assessed dispersal limitation by 23 identifying the spatial autocorrelation distance, standing at approximately 60 m, which 24 would be required in order to obtain fully independent samples and may inform future 25 sampling strategies in the region. Finally, indicator taxa with strong statistical correlations 26 with environment variables were identified. However, we showed that these strong taxa- 27 environment associations may not always be reflected in the geographical distribution of 28 these taxa. 3 and potentially elsewhere. The work also showed that strong taxa-environment statistical associations may not be reflected in the observed landscape distribution of the indicator taxa.
Clustering: Methodology, hybrid systems, visualization, validation and implementation

Unsupervised learning is one of the most important steps of machine learning applications. Besides its ability to obtain the insight of the data distribution, unsupervised learning is used as a preprocessing step for other machine learning algorithm. This dissertation investigates the application of unsupervised learning into various types of data for many machine learning tasks such as clustering, regression and classification. The dissertation is therefore organized into three papers. In the first paper, unsupervised learning is applied to mixed categorical and numerical feature data type to transform the data objects from the mixed type feature domain into a new sparser numerical domain. By making use of the data fusion capacity of adaptive resonance theory clustering, the approach is able to reduce the distinction between the numerical and categorical features. The second paper presents a novel method to improve the performance of wind forecast by clustering the time series of the surrounding wind mills into the similar group by using hidden Markov model clustering and using the clustering information to enhance the forecast. A fast forecast method is also introduced by using extreme learning machine which can be trained by analytic form to choose the optimal value of past samples for prediction and appropriate size of the neural network. In the third paper, unsupervised learning is used to automatically learn the feature from the dataset itself without human design of sophisticated feature extractors. The paper points out that by using unsupervised feature learning with multi-quadric radial basis function extreme learning machine the performance of the classifier is better than several other supervised learning methods. The paper further improves the speed of training the neural network by presenting an algorithm that runs parallel on a graphics processing unit (GPU).
for Neutrophil Extravasation During Role of Galectin-3 as an Adhesion Molecule

Recruitment of neutrophils from blood vessels to sites of infection represents one of the most important elements of innate immunity. Movement of neutrophils across blood vessel walls to the site of infection ﬁrst requires that the migrating cells ﬁrmly attach to the endothelial wall. Generally, neutrophil extravasation is mediated at least in part by two classes of adhesion molecules, (cid:1) 2 integrins and selectins. However, in the case of streptococcal pneumonia, recent studies have revealed that a signiﬁcant proportion of neutrophil diapedesis is not mediated by the (cid:1) 2 integrin/selectin paradigm. Galectin-3 is a (cid:1) -galactoside-binding lectin implicated in inﬂammatory responses as well as in cell adhesion. Using an in vivo streptococcal pneumonia mouse model, we found that accumulation of galectin-3 in the alveolar space of streptococcus-infected lungs correlates closely with the onset of neutrophil extravasation. Furthermore, immunohistological analysis of infected lung tissue revealed the presence of galectin-3 in the lung tissue areas composed of epithelial and endothelial cell layers as well as of interstitial spaces. In vitro, galectin-3 was able to promote neutrophil adhesion to endothelial cells. Promotion of neutrophil adhesion by galectin-3 appeared to result from direct cross-linking of neutrophils to the endothelium and was dependent on galectin-3 oligomerization. Together, these results suggest that galectin-3 acts as an adhesion molecule that can mediate neutrophil adhesion to endothelial cells. However, accumulation of galectin-3 in lung was not observed during neutrophil emigration into alveoli induced by Escherichia coli infection, In addition, we show in vitro that galec-tin-3 mediates neutrophil adhesion to the endothelium through direct cellular cross-linking. These results suggest that galectin-3 acts as a novel type of adhesion molecule involved in streptococcal pneumonia in which a signiﬁcant proportion of extravasation of neutrophils to the infected lung occurs in a manner independent of (cid:1) 2 integrins.
Kissing Pedro Martinez: (Existential) Anankastic Conditionals and Rationale Clauses

Sentences like (1), which have been called Anankastic (from the Greek word for necessity), have the outward form of conditionals. But their meanings differ from those of ordinary indicative conditionals in interesting respects—apart from the curious fact that the if-clause can be replaced by an infinitival rationale-clause. It is odd, for example, for a conditional sentence like (1a) to imply (3). Why would a sentence of the form (4a) mean the same thing as one of the form (4b)?
Comparison of Pharmacokinetics of Aprepitant in Healthy Chinese and Caucasian Subjects

Purpose: Aprepitant is used to prevent nausea and vomiting associated with moderately and highly emetogenic chemotherapy. In this open-label, 2-period study, the safety, tolerability, and pharmacokinetics (PK) of aprepitant (EMEND ® ) were evaluated in healthy Chinese and Caucasian subjects. Patients and Methods: Twelve Chinese and 12 Caucasian subjects were to receive a 125 mg single-dose of aprepitant during period 1; subsequently, after 15 days washout, only Chinese subjects were to receive the 3-day regimen in period 2. In each period, serial blood samples were collected and analyzed by a validated liquid chromatographic and mass spectrometric method to characterize aprepitant PK across both groups. Results: In both Chinese and Caucasian subjects, there were no serious adverse events. AUC 0- ∞ , C max , T max, and t 1/2 were largely comparable between the two ethnicities. Comparing the result of period 1 in Chinese and Caucasian subjects, the geometric least-squares mean maximum plasma concentrations (C max ) were 1482 ng/mL and 1435 ng/mL, and the area under the concentration – time curve (AUC 0- ∞ ) 34,035 hr·ng/mL and 34,188 hr·ng/mL. In period 2, the geometric mean AUC 0 – 24 on Day 1 and Day 3 were 19,446 hr·ng/ mL and 27,843 hr·ng/mL, and the geometric mean C max on Day 1 and Day 3 were 1423 ng/ mL and 1757 ng/mL, respectively. Conclusion: Aprepitant is generally safe and well tolerated in healthy Chinese and Caucasian subjects. Aprepitant PK is comparable between Chinese and Caucasian subjects following single-dose administration. The PK following a clinical 3-day regimen on healthy Chinese subjects has been characterized.
Genotype-by-environment interaction in Holstein heifer fertility traits

29 Background: The effect of heat stress on livestock production is a worldwide 30 issue, where animal performance is influenced by exposure to high environmental 31 temperatures, indicating the existence of possible genotype-by-environment 32 interactions (GE). The main objectives of this study were to (1) detect the time periods 33 in which heifer fertility traits are more sensitive to the exposure to high environmental 34 temperature and/or humidity, (2) investigate GE due to heat stress in heifer fertility 35 traits, and (3) identify genomic regions associated with heifer fertility and heat stress in 36 Holstein cattle. 37 Results: Phenotypic records for three heifer fertility traits (i.e., age at first 38 calving, interval from first to last service, and conception rate at the first service) were 39 collected, from 2005 to 2018, for 56,998 Holstein heifers raised in 15 herds in the 40 Beijing area (China). By integrating environmental data including hourly air 41 temperature and relative humidity, the critical periods in which the heifers are more 42 sensitive to heat stress were defined as <=30 days before the first service for age at first 43 calving and interval from first to last service, or 10 days before and <= 60 days after 44
Social Media for the Common Good: the case of EARS

Natural disasters such as earthquakes, tornadoes and ﬂoods, are just some of the devastating events that may have catastrophic consequences on wide geographical areas. A quick and targeted response to emergencies greatly contributes in mitigating the losses. In recent years we have witnessed to many situations in which crowds of volunteer citizens have helped emergency responders via the use of widespread social media. Here we argue that technology can help in supporting the population, as well as the decision makers, by introducing tools that enhance the collective awareness level, providing quick yet accurate insights into the unfolding emergency. In this short paper we introduce the EARS system, a social media-based system that supports decision makers during earthquake emergencies in Italy. We discuss the implications and the responsibility related to the usage of such systems by the decision makers. Also, we discuss on how publicly opening systems like EARS to the population might change the problem approach and we introduce relevant opportunities and issues that this solution would imply.
Susanna Leisten

This paper investigates the current turbulent state of copyright in the digital age, and explores the viability of alternative compensation systems that aim to achieve the same goals with fewer negative consequences for consumers and artists. To sustain existing business models associated with creative content, increased recourse to DRM (Digital Rights Management) technologies, designed to restrict access to and usage of digital content, is well underway. Considerable technical challenges associated with DRM systems necessitate increasingly aggressive recourse to the law. A number of controversial aspects of copyright enforcement are discussed and contrasted with those inherent in levy based compensation systems. Lateral exploration of the copyright dilemma may help prevent some undesirable societal impacts, but with powerful coalitions of creative, consumer electronics and information technology industries having enormous vested interest in current models, alternative schemes are frequently treated dismissively. This paper focuses on consideration of alternative models that better suit the digital era whilst achieving a more even balance in the copyright bargain.
Introduction to the Modern Theory of Dynamical Systems: Low-dimensional phenomena

Part I. Examples and Fundamental Concepts Introduction 1. First examples 2. Equivalence, classification, and invariants 3. Principle classes of asymptotic invariants 4. Statistical behavior of the orbits and introduction to ergodic theory 5. Smooth invariant measures and more examples Part II. Local Analysis and Orbit Growth 6. Local hyperbolic theory and its applications 7. Transversality and genericity 8. Orbit growth arising from topology 9. Variational aspects of dynamics Part III. Low-Dimensional Phenomena 10. Introduction: What is low dimensional dynamics 11. Homeomorphisms of the circle 12. Circle diffeomorphisms 13. Twist maps 14. Flows on surfaces and related dynamical systems 15. Continuous maps of the interval 16. Smooth maps of the interval Part IV. Hyperbolic Dynamical Systems 17. Survey of examples 18. Topological properties of hyperbolic sets 19. Metric structure of hyperbolic sets 20. Equilibrium states and smooth invariant measures Part V. Sopplement and Appendix 21. Dynamical systems with nonuniformly hyperbolic behavior Anatole Katok and Leonardo Mendoza.
General Anesthetics and Vascular Smooth Muscle Direct Actions of General Anesthetics on Cellular Mechanisms Regulating Vascular Tone

General anesthetics threaten cardiovascular stability by caus- ing changes in cardiac function, vascular reactivity, and cardiovascular reﬂexes and signiﬁcantly alter distribution of cardiac output to various organs. Their overall impact is often systemic hypotension, which is attributable to myocardial depression, peripheral vasodilation, and attenuated sympathetic nervous system activity. However, one could be more causative than the others, depending on anesthetic agents and cardiovascular fac- tors inherent in patients ( e.g. , coexisting heart disease). It is generally believed that most general anesthetics attenuate sym- pathetic nervous system outﬂow from the central nervous system, thereby decreasing vascular resistance in peripheral circulations. Indeed, in previous in vivo studies, during administration of various general anesthetics, vascular resistance was decreased in most peripheral circulations; however, it was unaffected or increased in some peripheral circulations. General anesthetics may act directly on vascular smooth muscle and/or endothelial cells in various vascular beds, inﬂuencing total peripheral and/or regional vascular resistance, and hence organ blood ﬂow. This article reviews previously reported direct ( i.e. , nonneural) vascular actions of general anesthetics and discusses their underlying mechanisms, their in vivo relevance, and the future of research for general anesthetic vascular pharmacology.
Necroptosis In Vivo Are Viable and Protected from TNF-Induced Cutting Edge: RIPK1 Kinase Inactive Mice

The serine/threonine kinase RIPK1 is recruited to TNFR1 to mediate proinﬂammatory signaling and to regulate TNF-induced cell death. A RIPK1 deﬁciency results in perinatal lethality, impaired NF k B and MAPK signaling, and sensitivity to TNF-induced apoptosis. Chemical inhibitor and in vitro–reconstitution studies suggested that RIPK1 displays distinct kinase activity–dependent and –independent functions. To determine the contribution of RIPK1 kinase to inﬂammation in vivo, we generated knock-in mice en-dogenously expressing catalytically inactive RIPK1 D138N. Unlike Ripk1 2 / 2 mice, which die shortly after birth, Ripk1 D138N/D138N mice are viable. Cells expressing RIPK1 D138N are resistant to TNF- and polyinosinic-polycytidylic acid–induced necroptosis in vitro, and Ripk1 D138N/D138N mice are protected from TNF-induced shock in vivo. Moreover, Ripk1 D138N/D138N mice fail to control vaccinia virus replication in vivo. This study provides genetic evidence that the kinase activity of RIPK1 is not required for survival but is essential for TNF-, TRIF-, and viral-initiated necroptosis. The
HIV Vaccine

More than three decades after the discovery of Human Immunodeficiency Virus (HIV) as the causative agent of Acquired Immunodeficiency Syndrome (AIDS), a vaccine is still considered as the best hope for controlling the epidemic. In fact the history of medicine shows that no viral disease have ever been controlled without a vaccine. Remarkable success in the AIDS treatment has been achieved with the development of antiretroviral drugs that, by interfering with various aspects of the HIV life cycle, allowed an impressive control of infection (Fischl et al., 1987; Egger et al., 1997). The use of these drugs, however, was accompanied by new challenges related to side effects, high cost and resistance development (Carr, 2000; Hawkins, 2010; Menéndez-Arias, 2010; www.hivresourcetracking.org/treatments/vaccines). Antiretroviral treatment cannot prevent early infection events, such as transmission to sexual partners during the post-infection peak of viremia (Wawer et al., 1999) and the massive destruction of intestinal CD4+T cells during the first weeks of infection (Brenchley et al., 2004). Furthermore drugs delivery to poor and endemic areas is often hard due to practical limitations. In resource-limited countries only 1 out 4 HIV-positive individuals has access to antiretroviral medications, and for each person who begins the therapy, there are about 6 new infections (www.who.int/entity/hiv/mediacentre/universal_access_progress_report_en.pdf). These factors made difficult to control the pandemic through antiretroviral therapy. Others approaches could be taken in account to reduce HIV-1 infection in subjects at risk of exposure, including public health involvement (i.e.: screening of donor blood products), educational effort (i.e.: risk reduction counselling), or social imprinting (i.e.: male circumcision and behaviour modifications such as condom usage). In high seropositive communities, pre-exposure or post-exposure antiretroviral prophylaxis may reduce susceptibility to HIV infection, as well as the vertical HIV transmission from mother to child. The creation of an HIV-1 vaccine represents an unprecedented scientific challenge and it’s an absolute priority in field of HIV prevention. We must remember that vaccines are one of the most effective public health interventions ever known, but unfortunately, in HIV infection, the current perspective is that we will not have a product, even moderately effective, in the coming years. The truth is that often in the history of vaccinology it takes a long time since the discovery of infectious agents to the licensing of an effective vaccine (Heyward et al., 1998). This is due in
A new clustering structure for VANET

The Vehicular Ad-Hoc Network (VANET) paradigm offers the opportunity of extending Intelligent Transport System (ITS) by supporting its applications through vehicle-to-vehicle communications, notably in the areas where the infrastructure is inexistent, in failure, or overloaded. However, the complexity induced by ad hoc network management raises many challenges that have to be solved such as the sharing of bandwidth resources, the limitations on the duration of the connections between the vehicles, and the application-specific quality of service (QoS) requirements. Recently, the Chain-Branch-Leaf clustering scheme (CBL) has been proposed for vehicle-to-vehicle ad hoc routing that combines the information of road configuration, vehicle mobility, and link quality in order to build an efficient clustering connecting the entire VANET through a flexible backbone. This work presents a comparative study between the native Multipoint relaying clustering used in the Optimized Link State Routing (OLSR) and CBL scheme. The results show that CBL reduces significantly the routing traffic overhead compared to native OLSR, thus freeing up more bandwidth for ITS applications and reducing the IP delays for peer-to-peer applications.
INTERPOLATION INEQUALITIES IN PRESENCE OF A MAGNETIC FIELD AND APPLICATION TO SCHRÖDINGER OPERATORS

In this paper we are mainly interested in the case of a constant magnetic field B of strength B in dimension d = 2, with A = 2 (−x2, x1). It is well-known that the infimum of the spectrum of −∆A is equal to B . Moreover the spectrum of −∆A is a the countable set {(2 j+1)B : j ∈N}. The eigenspaces corresponding to these elements of the spectrum are called the Landau levels and they are all infinity dimensional. In particular the eigenspace corresponding to the lowest level B is called the LLL (lowest Landau level). The case of a constant magnetic field B = (0,0,B) with magnetic potential A = 2 (−x2, x1,0) in dimension d = 3 is similar, but is not studied in this paper.