Miracle-dz/UniFAR-FTUs huggingface dataset:
La " Dalle à ammonites de Digne " (Réserve Naturelle Géologique de Haute-Provence, France). Étude d'un site fossilifère d'importance patrimoniale.

La " Dalle a ammonites de Digne " est une localite fossilifere tres spectaculaire, d'importance tant scientifique que patrimoniale. Ce site exceptionnel est protege par la Reserve Naturelle Geologique de Haute-Provence (RNGHP). La dalle d'environ 320 m2, qui constitue l'element essentiel du site, porte plus de 1550 cephalopodes (surtout des ammonites, mais aussi quelques nautiles) et une faune benthique discrete, mais assez diversifiee, principalement constituee de bivalves epibenthiques. La faune d'ammonites, tres evidente et spectaculaire, est assez monotone. Elle comprend de tres nombreux Arietitidae (Coroniceras) et quelques Schlotheimiidae (Angulaticeras), mais elle est essentiellement constituee par une seule espece tres dominante : Coroniceras multicostatum (J. de C. Sowerby, 1824) dont les nombreux grands specimens, qui peuvent depasser 50 cm de diametre, font la celebrite du site. Le present travail est concu comme une monographie entierement dediee a la " Dalle a ammonites de Digne " et a la serie qui l'encadre. Il tient compte des aspects paleontologiques, paleobiogeographiques, paleoecologiques, stratigraphiques et sedimentologiques. Bien que les exigences de la protection du site excluent tout prelevement delibere de specimen, une etude morphometrique basee sur un ensemble de mesures prises in situ a permis de preciser la variabilite intraspecifique de Coroniceras multicostatum (J. de C. Sowerby, 1824) et suggere que la periode de depot fut probablement breve, au sens geologique du terme. En outre, et a titre experimental, la " Dalle " a recemment fait l'objet d'un releve par scanner 3D controle par laser. L'iconographie proposee dans le present travail est constituee d'images de synthese obtenues a partir de ces donnees 3D, saisies in situ, et de photographies de specimens conserves dans les collections de la RNGHP.
Assessing Halal logistics competence: An Islamic-based and resource-based view

Halal logistics is an innovation of delivering of Halal products or service. It is newly emerging area in the logistics industry due to Halal global dynamic business architecture. Global Halal market is indeed enormous due to tremendous growth of global Halal demand from Muslims and non-Muslim consumers. According to theory the growth of Halal industry and Halal market enhance the demand for Halal logistics. However, to date only few third-party logistics (3PL) firms are certified by Halal certification, indicating not many 3PLs involved in Halal logistics. Hence the successful implementation of Halal logistics operations is yet to be seen and the mechanism of Halal logistics competence is still in the `black-box'. To unfold these crucial gaps, this article applies Islamic-based approach enshrined in Al-Quran and Hadith to explore the basic determinants of Halal services and Halal logistics services in particular and further identify prominence determinants of Halal logistics competence in delivery Halal products and service by Malaysian 3PL firms.
Cloud computing adoption and determining factors in different industries: a case study of Thailand

The cloud computing model is a modern concept of computation that provides a number of benefits to its adopters. This online computing model has been widely used in the Western world and accepted to have some business and economic impacts. The aim of this paper is first to provide some basic knowledge about cloud computing and point out the greatest benefit of it, which is cost reduction in fixed ICT capital and services. Second, this study attempts to find the determining factors for cloud computing adoption and proposes some policy recommendations accordingly. Thailand is selected as ground for investigation. The discrete choice model of logistic regression is selected as an econometric tool to extract the relationships of different attributes and the probability of cloud computing adoption in 206 industries. The results point out significant determining factors categorised into internet and technology, cost, and difficulties in ICT usage. Some policy implications include an effort to improve internet capability of employees, provide investment incentives such as tax reduction and low-cost loans for initial setups of cloud computing systems, and develop reliable internet network with advanced capability and low cost of use.
Hierarchical evolutive systems, fuzzy categories and the living single cell

In this article, the theory of hierarchical evolutive systems of Ehresmann and Vandremeersch [Bull. Math. Bio. 49, 13-50 (1987)] is improved by considering the categories of the theory as fuzzy sets whose elements are the composite objects formed by the arrows and corresponding vertices of their embedded graphs. This way each category can be represented as a point in the states space [0.1]**N. The introduction of a diffeomorphism, that acts in this context as a functor between categories, allows to define a measure preserving dynamical system. In particular, we apply this formalism to describe a living single cell. We propose for its state at a given time a hirerchical category with three levels (molecular, coarse-grained and cellular levels) related by adequate colimits. Each level involves the main functional and structural modules in which the cell can be partitioned. The time evolution of the cell is drived by a transformation which is a N-dimensional generalization of the Ricker map whose parameters we propose to be determined by requiring that, as hallmark of its behavior, the living cell to evolve at the edge of chaos. From the dynamical point of view this property manifests in the fact that the largest Lyapunov exponent is equal to zero. Since in a rather complete model of the living cell the huge number of involved parameters can make of the calculations a hard task, we also propose a toy model, with fewer parameters to be determined, which emphasizes the cellular fission.
I Spot a Bot : Building a binary classiﬁer to detect bots on Twitter

It has been estimated that up to 50% of the activity on Twitter comes from bots [1]: algorithmically-automated accounts created to advertize products, distribute spam, or sway public opinion. It is perhaps this last intent that is most alarming; studies have found that up to 20% of the Twitter activity related to the 2016 U.S. presidential election came from suspected bot accounts, and there has been evidence of bots used to spread false rumors about French presidential candidate Emmanuel Macron and to escalate a recent conflict in Qatar [1]. Detecting bots is necessary in order to identify bad actors in the “Twitterverse” and protect genuine users from misinformation and malicious intents. This has been an area of research for several years, but current algorithms still lag in performance relative to humans [2]. Given a Twitter user’s profile and tweet history, our project was to build a binary classifier that identifies a given user as “bot” or “human. ” The end-user application for a classifier such as this one would be a web plug-in for the browser that can score a given account in real-time (See page 5 for mock-ups). All of the raw inputs required to classify a public Twitter account via our algorithm are available for download from the Twitter API; in fact, our check_screenname. py program is a working prototype that uses the API to classify a given Twitter user handle within seconds. It is our opinion that a product like this is sorely needed for the average Twitter consumer.
2,2′-Dichlorobiphenyl Decreases Amplitude and Synchronization of Uterine Contractions Through MAPK1-Mediated Phosphorylation of GJA1 (Connexin43) and Inhibition of Myometrial Gap Junctions1

Abstract The present study examined the hypothesis that inhibition of myometrial gap junctions through MAPK1-induced phosphorylation of GJA1 (connexin43) leads to inhibition of spontaneous phasic uterine contractions by 2,2′-dichlorobiphenyl (2,2′-DCB). Uterine strips from Gestation Day 10-pregnant rats exposed in muscle baths to 2,2′-DCB exhibited increased oscillatory frequency and decreased amplitude and synchronization of contractions. To assess effects on gap junctions, Lucifer yellow was injected into myometrial cells and transfer to adjacent cells was scored. After a 1-h treatment, 100 μM 2,2′-DCB decreased Lucifer yellow intercellular transfer in a concentration-dependent manner. The MAP2K1 inhibitor PD98059 increased percentage of dye transfer to adjacent myometrial cells from 18% in cultures exposed for 1 h to 100 μM 2,2′-DCB alone to 48% in cultures cotreated with 50 μM PD98059 and 100 μM 2,2′-DCB. In contrast, the conventional PRKC inhibitor Gö6976 (10 μM) had no significant effect on 2,2′-DCB-induced inhibition of dye transfer. Western blotting showed about a 4.5-fold increase in phosphorylation of GJA1 at S255, a MAPK1 site, after exposure to 100 μM 2,2′-DCB compared to untreated and solvent controls. However, there was no difference in phosphorylation of GJA1 at S368, a PRKC site. Cells treated with 2,2′-DCB increased phosphorylated MAPK1, implicating the increase of activation of MAPK1. Cotreatment with 100 μM 2,2′-DCB and 5 μM PD98059 reversed 2,2′-DCB-induced modification of uterine contractions and increase of pGJA1(S255) in uterine strips. Therefore, this study suggests that 2,2′-DCB decreases amplitude and synchronization of uterine contractions mediated through MAPK1-mediated phosphorylation of GJA1 and subsequent inhibition of myometrial gap junctions.
Gibberellins Are Modified by Methylation in Planta

Methylation, the attachment of a methyl group in place of a hydrogen atom, is a common modification to numerous biological substrates. Almost all classes of plant metabolite are known to be methylated, including amino acids, alkaloids, phenylpropanoids, sugars, sterols, thiols, flavonoids, and
Elevated factorVIII is a risk factor for idiopathic venous thromboembolism in Canada – is it necessary to define a new upper reference range for factorVIII ?

Previous studies suggest elevated factorVIII is a common, independent risk factor for venous thromboembolism (VTE); however, these studies included secondary and idiopathic VTE.We sought to explore the association between elevated factor VIII and VTE in Canadian patients with idiopathic thrombosis, and confirm the current upper factor VIII reference range was appropriate.We enrolled 300 consecutive patients with idiopathic VTE who were matched to friend controls by age, sex and ethnicity. FactorVIII levels were measured and compared between cases and controls.The optimal cut-off value to designate factor VIII levels as elevated was determined using a variety of methods.The optimal upper cut-off value for factor VIII levels was 270 IU/dl. In the logistic regression analysis, cases were
Measles Virus-Induced Immunosuppression in SLAM Knock-In Mice

ABSTRACT Measles virus (MV) causes transient severe immunosuppression in patients, which may lead to secondary viral and bacterial infections, largely accounting for measles-related morbidity and mortality. MV is known to infect immune cells by using the human signaling lymphocyte activation molecule (SLAM; also called CD150) as a cellular receptor, but the mechanism by which MV causes immunosuppression is not well understood. We show that MV infection of SLAM knock-in mice, in which the V domain of mouse SLAM was replaced by the V domain of human SLAM, crossed with alpha/beta-interferon receptor knockout mice, reproduced many immunological alterations observed in human patients. These included lymphopenia, inhibition of T-cell proliferation and antibody production, increased production of the Th2 cytokine interleukin-4 (IL-4) and the immunosuppressive cytokine IL-10, and suppression of contact hypersensitivity. Gross redistribution of lymphocytes among lymphoid tissues was not apparent in infected mice, nor was an increase of regulatory T cells. The numbers of lymphocytes in lymph nodes remained almost unchanged after MV infection, despite enhanced apoptosis, suggesting that lymph nodes were replenished with lymphocytes from the peripheral blood, which may have contributed to the observed lymphopenia in the spleen. Blocking of IL-10 by use of an anti-IL-10 receptor antibody ameliorated suppression of contact hypersensitivity in infected mice. These results indicate that SLAM knock-in mice lacking the expression of the alpha/beta-interferon receptor serve as a useful small animal model with which to elucidate MV-induced immunosuppression.
Inactivation and Heat Stabilization of Poliovirus by 2-Thiouracil

Treatment of poliovirus Type I with 10−3m 2-thiouracil (2-TU) resulted in the inactivation of greater than 90% of the virus infectivity and stabilization of approximately 50% of the residual virus to heat inactivation. These effects were due to a reaction with the protein moiety of the virus and could be blocked by pre-treatment of the virus with l-cystine or of the drug with cysteine. Both inactivation and stabilization occurred synchronously and reached equilibrium at the same time. Neither process was reversed by reducing agents. It is suggested that an oxidized form of 2-TU reacts with capsid sulfhydryl groups to form a product which is stable in either the inactive or heat-resistant form.
The effects of local fields on laser gain for layered and Maxwell Garnett composite materials

We develop simple theoretical models for calculating the effective linear susceptibilities of layered and Maxwell Garnett composite materials with a gain resonance in one of their components. We distinguish two cases of resonant components: the case of 'pure resonant emitters', in which all the atoms or molecules of the resonant medium are of the same sort, and the case of 'resonant emitters in a background', in which only a fraction of the molecules or atoms comprising the resonant component of a composite material are in resonance with the optical field. Analysis of these models suggests that local-field effects in composite materials can provide a useful means for controlling the optical properties of laser gain media.
Bis[μ-2-(2,4-difluorophenyl)-1,3-bis(1H-1,2,4-triazol-1-yl)propan-2-olato]dicopper(II) bis(perchlorate)

The title complex, [Cu2(C13H11F2N6O)2](ClO4)2, which was hydrothermally synthesized, contains a binuclear copper cluster (2 symmetry) with a Cu2O2 rhombus [Cu—O = 1.927 (2) Å] formed by donation of two O atoms from two chelate rings. The tridentate function of each ligand is completed by two N atoms coordinated to the two CuII atoms [Cu—N = 1.933 (2) Å]. The separation distance of two CuII atoms in a cluster is 2.988 (1) Å. The dihedral angle between the six-membered chelate rings is 2.13 (9)°. The perchlorate counter-anion is disordered over two sites in a 0.58 (10):0.42 (10) ratio.
A Mechanism for energy-efficient reuse of decoding and scheduling of x86 instruction streams

Current superscalar x86 processors decompose each CISC instruction (variable-length and with multiple addressing modes) into multiple RISC-like pops at runtime so they can be pipelined and scheduled for concurrent execution. This challenging and power-hungry process, however, is usually repeated several times on the same instruction sequence, inefficiently producing the very same decoded and scheduled pops. Therefore, we propose a transparent mechanism to save the decoding and scheduling transformation for later reuse, so that next time the same instruction sequence is found it can automatically bypass the costly pipeline stages involved. We use a coarse-grained reconfigurable array as a means to save this transformation, since its structure enables the recovery of pops already allocated in time and space, and also larger ILP exploitation than superscalar processors. The technique can reduce the energy consumption of a powerful 8-issue superscalar by 31.4% at low area costs, while also improving performance by 32.6%.
Global output feedback asymptotic stabilization for a class of nonlinear systems

The global asymptotic stabilization problem by output feedback is proposed for a class of nonlinear systems which have uncertain control coefficients and unmeasured states dependent growth. Firstly, by introducing a novel state transformation, the original system is transformed into a new system without uncertain control coefficients. Then, a suitable observer is applied and an output feedback controller is designed for the new system. It is shown that all the signals of the closed-loop system are global asymptotic stabilization by choosing the design parameters properly.
Genomic and protein expression profiling identifies CDK6 as novel independent prognostic marker in medulloblastoma.

PURPOSE Medulloblastoma is the most common malignant brain tumor in children. Despite multimodal aggressive treatment, nearly half of the patients die as a result of this tumor. Identification of molecular markers for prognosis and development of novel pathogenesis-based therapies depends crucially on a better understanding of medulloblastoma pathomechanisms. PATIENTS AND METHODS We performed genome-wide analysis of DNA copy number imbalances in 47 medulloblastomas using comparative genomic hybridization to large insert DNA microarrays (matrix-CGH). The expression of selected candidate genes identified by matrix-CGH was analyzed immunohistochemically on tissue microarrays representing medulloblastomas from 189 clinically well-documented patients. To identify novel prognostic markers, genomic findings and protein expression data were correlated to patient survival. RESULTS Matrix-CGH analysis revealed frequent DNA copy number alterations of several novel candidate regions. Among these, gains at 17q23.2-qter (P < .01) and losses at 17p13.1 to 17p13.3 (P = .04) were significantly correlated to poor prognosis. Within 17q23.2-qter and 7q21.2, two of the most frequently gained chromosomal regions, confined amplicons were identified that contained the PPM1D and CDK6 genes, respectively. Immunohistochemistry revealed strong expression of PPM1D in 148 (88%) of 168 and CDK6 in 50 (30%) of 169 medulloblastomas. Overexpression of CDK6 correlated significantly with poor prognosis (P < .01) and represented an independent prognostic marker of overall survival on multivariate analysis (P = .02). CONCLUSION We identified CDK6 as a novel molecular marker that can be determined by immunohistochemistry on routinely processed tissue specimens and may facilitate the prognostic assessment of medulloblastoma patients. Furthermore, increased protein-levels of PPM1D and CDK6 may link the TP53 and RB1 tumor suppressor pathways to medulloblastoma pathomechanisms.
Chloroplast DNA evidence of colonization, adaptive radiation, and hybridization in the evolution of the Macaronesian flora.

Most evolutionary studies of oceanic islands have focused on the Pacific Ocean. There are very few examples from the Atlantic archipelagos, especially Macaronesia, despite their unusual combination of features, including a close proximity to the continent, a broad range of geological ages, and a biota linked to a source area that existed in the Mediterranean basin before the late Tertiary. A chloroplast DNA (cpDNA) restriction site analysis of Argyranthemum (Asteraceae: Anthemideae), the largest endemic genus of plants of any volcanic archipelago in the Atlantic Ocean, was performed to examine patterns of plant evolution in Macaronesia. cpDNA data indicated that Argyranthemum is a monophyletic group that has speciated recently. The cpDNA tree showed a weak correlation with the current sectional classification and insular distribution. Two major cpDNA lineages were identified. One was restricted to northern archipelagos--e.g., Madeira, Desertas, and Selvagens--and the second comprised taxa endemic to the southern archipelago--e.g., the Canary Islands. The two major radiations identified in the Canaries are correlated with distinct ecological habitats; one is restricted to ecological zones under the influence of the northeastern trade winds and the other to regions that are not affected by these winds. The patterns of phylogenetic relationships in Argyranthemum indicate that interisland colonization between similar ecological zones is the main mechanism for establishing founder populations. This phenomenon, combined with rapid radiation into distinct ecological zones and interspecific hybridization, is the primary explanation for species diversification.
Output integral sliding mode based robustified LQ control for switched uncertain systems

This paper presents observation and control methodologies for a class of switched uncertain linear time invariant systems with autonomous location transitions. A switched algebraic hierarchical observer is designed using an output integral sliding mode technique in order to reconstruct the state in every location, based only on the available output information. The sequence of locations is identified using the information given by the switching surfaces and the nominal trajectory generated by a hybrid LQ optimal control. The hybrid LQ control problem is robustified using an integral sliding mode control, allowing to eliminate the perturbations/uncertainties dynamics from the switched uncertain system, theoretically exactly, right after the first moment, using only output information. Simulations illustrate the effectiveness of the proposed approach.
Object Recognition Using Discriminative Features and Linear Classifiers

Amongst the prevailing methods used for object recognition, the deep learning methods are most favored. Rather than continuing what has become a trend to improve the former methods, in this paper we try to explore the time honoured linear classifiers such as Support Vector Machine(SVM) and Multinomial Logistic Regression(MLR). We demonstrate how simple transformations can make the data more responsive to these straightforward linear separation rules and produce results comparable to the generic feature based classifiers with complex framework. To delve further into the relationship between the transformations and performance of the linear classifiers, we have employed various techniques leading up to ensembling on the CIFAR-10 dataset, discussed the results and plausible accuracies obtained.
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things

A network traffic classifier (NTC) is an important part of current network monitoring systems, being its task to infer the network service that is currently used by a communication flow (e.g., HTTP and SIP). The detection is based on a number of features associated with the communication flow, for example, source and destination ports and bytes transmitted per packet. NTC is important, because much information about a current network flow can be learned and anticipated just by knowing its network service (required latency, traffic volume, and possible duration). This is of particular interest for the management and monitoring of Internet of Things (IoT) networks, where NTC will help to segregate traffic and behavior of heterogeneous devices and services. In this paper, we present a new technique for NTC based on a combination of deep learning models that can be used for IoT traffic. We show that a recurrent neural network (RNN) combined with a convolutional neural network (CNN) provides best detection results. The natural domain for a CNN, which is image processing, has been extended to NTC in an easy and natural way. We show that the proposed method provides better detection results than alternative algorithms without requiring any feature engineering, which is usual when applying other models. A complete study is presented on several architectures that integrate a CNN and an RNN, including the impact of the features chosen and the length of the network flows used for training.