Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a reduced virtual actuator: A graph-theoretic approach

This paper presents a new method for minimum invasive control reconfiguration after actuator failures. As an actuator failure usually affects only a part of the plant, only a few available components are necessary to compensate this failure. However, the design of a virtual actuator is based on the model of the overall plant and makes use of all available components, and modifies the overall control loop. In this paper a reduced virtual actuator that guarantees stabilisation of the overall control loop is introduced. First, the effect of a failure and the necessary redundancies are identified by a structural analysis. Second, an algorithm is presented that finds a subsystem that is admissible for the design of a reduced virtual actuator. The reduced virtual actuator constrains the modifications in the control loop to the part of the plant that is affected by the failure and makes only use of a subset of the actuators. The proposed reconfiguration method is illustrated by its application to a thermo-fluid process.
Maternal mental well-being during pregnancy and glucocorticoid receptor gene promoter methylation in the neonate

Abstract Maternal mental health during pregnancy has been linked to health outcomes in progeny. Mounting evidence implicates fetal “programming” in this process, possibly via epigenetic disruption. Maternal mental health has been associated with glucocorticoid receptor methylation (nuclear receptor subfamily 3, group C, member 1 [NR3C1]) in the neonate; however, most studies have been small (n < 100) and have failed to control for multiple testing in the statistical analysis. The Barwon Infant Study is a population-derived birth cohort with antenatal recruitment. Maternal depression and anxiety were assessed using the Edinburgh Postnatal Depression Scale and psychological distress using the Perceived Stress Scale. NR3C1 cord blood methylation levels were determined using Sequenom MassArray for 481 participants. Maternal psychological distress and anxiety were associated with a small increase in neonate NR3C1 methylation at specific CpG sites, thus replicating some previous findings. However, associations were only nominally significant and did not remain after correction for the number of CpG sites and exposures investigated. As the largest study to explore the relationship between maternal well-being and offspring NR3C1 cord blood methylation, our results highlight the need for caution when interpreting previous findings in this area. Future studies must ensure they are adequately powered to detect the likely small effect sizes while controlling for multiple testing.
An Update on the Coagulopathy of Trauma

ABSTRACT Trauma remains the leading cause of death with bleeding as the primary cause of preventable mortality during the first 24 h following trauma. When death occurs, it happens quickly, typically within the first 6 h after injury. One of four patients to arrive in the emergency department after trauma is already in the state of acute traumatic coagulopathy and shock. The principal drivers of acute traumatic coagulopathy have been characterized by tissue hypoperfusion, inflammation, and the acute activation of the neurohumoral system. Hypoperfusion leads to an activation of protein C with cleavage of activated factors V and VIII and the inhibition of plasminogen activator inhibitor 1 with subsequent hyperfibrinolysis. Endothelial damage and activation result in Weibel-Palade body degradation and glycocalyx shedding associated with autoheparinization. In contrast, there is an iatrogenic coagulopathy that occurs secondary to uncritical volume therapy leading to acidosis, hypothermia, and hemodilution. This coagulopathy then may be an integral part of the “vicious cycle” when combined with acidosis and hypothermia. The present article summarizes an update on the principal mechanisms and triggers of the coagulopathy of trauma including traumatic brain injury.
Implementation of emotional features on satire detection

Recognition of satirical language in social multimedia outlets turn out to be a trending research area in computational linguistics. Many researchers have analyzed satirical language from various point of views: lexically, syntactically, and semantically. However, due to the ironic dimension of emotion embedded in satirical language, emotional study of satirical language has ever left behind. In this study, we propose the new emotion-based satire detection model using supervised and unsupervised weighting approaches (TFRF and TFIDF). We implement the model with Ensemble Bagging classifier compared with benchmark classifier: SVM. The model not only outperform the word-based baseline: BoW but also handle both short text and long text configurations. Our work in recognition of satirical language can aid in lessening the impact of implicit language in public opinion mining, sentiment analysis, fake news detection and cyberbullying.
Myocilin Mediates Myelination in the Peripheral Nervous System through ErbB2/3 Signaling*

Background: Myocilin, a secreted glaucoma-associated protein, is detected in the sciatic nerve, but its function there is not clear. Results: Myocilin null mutation leads to defects in the myelination of sciatic nerve acting through the ErbB2/ErbB3 receptor. Conclusion: Myocilin is a novel player in sciatic nerve myelination. Significance: This is the first demonstration of myocilin involvement in myelination. The glaucoma-associated gene, myocilin, is expressed in ocular and non-ocular tissues including the peripheral nervous system, but its functions in these tissues remain poorly understood. We demonstrate that in sciatic nerve, myocilin is expressed in Schwann cells with high concentrations at the nodes of Ranvier. There, myocilin interacts with gliomedin, neurofascin, and NrCAM, which are essential for node formation and function. Treatment of isolated dorsal root ganglion cultures with myocilin stimulates clustering of the nodal proteins neurofascin and sodium channel Nav1.2. Sciatic nerves of myocilin null mice express reduced levels of several myelin-associated and basal membrane proteins compared with those of wild-type littermates. They also demonstrate reduced myelin sheath thickness and partial disorganization of the nodes. Myocilin signaling through ErbB2/3 receptors may contribute to these observed effects. Myocilin binds to ErbB2/ErbB3, activates these receptors, and affects the downstream PI3K-AKT signaling pathway. These data implicate a role for myocilin in the development and/or maintenance of myelination and nodes of Ranvier in sciatic nerve.
Imbalanced data classification based on hybrid resampling and twin support vector machine

Imbalanced datasets exist widely in real life. The identification of the minority class in imbalanced datasets tends to be the focus of classification. As a variant of enhanced support vector machine (SVM), the twin support vector machine (TWSVM) provides an effective technique for data classification. TWSVM is based on a relative balance in the training sample dataset and distribution to improve the classification accuracy of the whole dataset, however, it is not effective in dealing with imbalanced data classification problems. In this paper, we propose to combine a re-sampling technique, which utilizes oversampling and under-sampling to balance the training data, with TWSVM to deal with imbalanced data classification. Experimental results show that our proposed approach outperforms other state-of-art methods.
The Tap and Slide Keyboard: A New Interaction Method for Mobile Device Text Entry

This article introduces a new soft keyboard, named Tap and Slide, specifically designed for mobile devices. The new interaction method, on which the keyboard is based, allows performing text entry operations in a very small space, so minimizing the space required. To evaluate the keyboard from a usability point of view, three studies were performed: the first verifies whether the subjects’ abilities expressed in terms of technological knowledge may specifically provide advantages in performing text entry operations, the second tries to understand the ease of learning of the keyboard considering both accuracy and efficiency in task execution, and the third analyzes the performance of the soft keyboard in comparison with the more common QWERTY soft keyboard.
Optimum pump pulse selection for demultiplexer application of four-wave mixing in semiconductor laser amplifiers

We report on an analysis of four-wave mixing in semiconductor laser amplifiers used for demultiplexing time-division multiplexed data streams at ultra-high bit rates. The analysis is focused on the optimum control pulse energy and width with respect to the switching efficiency, channel crosstalk, and jitter tolerance. We use a simple model of the time resolved gain saturation and four-wave mixing. It turns out, that an optimum pulse energy exists with respect to the switching efficiency. The requirements on the pulse width are contrary for the channel crosstalk and the jitter tolerance. Results for an optimum system design are presented. <<ETX>>
Abnormal lens morphogenesis and ectopic lens formation in the absence of β‐catenin function

β‐Catenin plays a key role in cadherin‐mediated cell adhesion as well as in canonical Wnt signaling. To study the role of β‐catenin during eye development, we used conditional Cre/loxP system in mouse to inactivate β‐catenin in developing lens and retina. Inactivation of β‐catenin does not suppress lens fate, but instead results in abnormal morphogenesis of the lens. Using BAT‐gal reporter mice, we show that β‐catenin‐mediated Wnt signaling is notably absent from lens and neuroretina throughout eye development. The observed defect is therefore likely due to the cytoskeletal role of β‐catenin, and is accompanied by impaired epithelial cell adhesion. In contrast, inactivation of β‐catenin in the nasal ectoderm, an area with active Wnt signaling, results in formation of crystallin‐positive ectopic lentoid bodies. These data suggest that, outside of the normal lens, β‐catenin functions as a coactivator of canonical Wnt signaling to suppress lens fate. genesis 45:157–168, 2007. Published 2007 Wiley‐Liss, Inc.
Experimental-Numerical Comparison for a High-Density Data Center: Hot Spot Heat Fluxes in Excess of 500 W/FT2

The current trend of using denser server environments is continuously increasing to satisfy the growing needs of e-commerce and other emerging technologies. The resulting high room-level heat fluxes present significant challenges with respect to maintaining acceptable computer rack inlet temperatures and minimizing total data center energy consumption. Numerical methods are widely used to model existing and new facilities. Validation of existing numerical techniques is an important step in facilitating good thermal design of data centers. This paper uses previously published experimental data to present a comparison between test results and numerical simulations. The example considered is a large 7400 ft2 data canter that houses over 130 heat-producing racks (1.2 MW) and 12 air conditioning units. Localized hot spot heat fluxes were measured to be as high as 512 W/ft2 (5.5 kW/m2) for a 400 ft (37 m) region. A numerical model based on computational fluid dynamics (CFD) was constructed using inputs from the measurements. The rack inlet air temperature was considered to be the basis for experimental vs. numerical comparison. The overall mean rack inlet temperature predicted numerically at a height of 1.75 m is within 4degC of the test data with a rack-by-rack standard deviation of 3.3 degC
Look-That-There : Exploiting Gaze in Virtual Reality Interactions

We present a suite of interaction techniques that fundamentally leverages the user’s gaze direction to provide a range of potential benefits over existing techniques such as reduced arm fatigue, more powerful interaction, and more specialized interaction. Because measuring true gaze direction is problematic, we instead approximate gaze with a non-linear mapping of head orientation that reduces neck strain when looking up or down. Given the immaturity of gaze-assisted VR interaction, we chose to prototype interaction designs across a variety of fundamental VR tasks that includes 3D point specification, 3D movement, and environment navigation. For each basic task we created a range of exemplary gaze-based techniques that populate three classifications: “Lazy” interactions that minimize or obviate hand movement, “Helping Hand” techniques in which gaze augments conventional interaction as if with an extra hand, and “Hands Down” manipulations in which gaze offloads the hands so that they can operate specialized devices such as a tablet. Specifically, this paper presents Look-That-There, a technique for moving objects in a virtual environment that does not require hand movement, in addition to gaze-based techniques for selecting menu items, specifying arbitrary 3D points or regions, and orbiting and flying. CR Categories: H.5. 2 [Information Interfaces and Presentation]: User Interfaces—Interaction Styles; I.3. 6 [Computer Graphics]: Methodology and Techniques—Interaction Techniques; I.3. 7 [Computer Graphics]: Three-Dimensional Graphics and Realism— Virtual Reality
Protein Kinase LegK2 Is a Type IV Secretion System Effector Involved in Endoplasmic Reticulum Recruitment and Intracellular Replication of Legionella pneumophila

ABSTRACT Legionella pneumophila is the etiological agent of Legionnaires' disease. Crucial to the pathogenesis of this intracellular pathogen is its ability to subvert host cell defenses, permitting intracellular replication in specialized vacuoles within host cells. The Dot/Icm type IV secretion system (T4SS), which translocates a large number of bacterial effectors into host cell, is absolutely required for rerouting the Legionella phagosome. Many Legionella effectors display distinctive eukaryotic domains, among which are protein kinase domains. In silico analysis and in vitro phosphorylation assays identified five functional protein kinases, LegK1 to LegK5, encoded by the epidemic L. pneumophila Lens strain. Except for LegK5, the Legionella protein kinases are all T4SS effectors. LegK2 plays a key role in bacterial virulence, as demonstrated by gene inactivation. The legK2 mutant containing vacuoles displays less-efficient recruitment of endoplasmic reticulum markers, which results in delayed intracellular replication. Considering that a kinase-dead substitution mutant of legK2 exhibits the same virulence defects, we highlight here a new molecular mechanism, namely, protein phosphorylation, developed by L. pneumophila to establish a replicative niche and evade host cell defenses.
Capturing the object behaviour for storage system evaluation

In this paper, we present a kind of distributed tracing system for evaluating the performance of object storage system. The tracing build on the object-based Lustre file system can capture the object information synchronously from three subsystems of Lustre cluster file system. To improve I/O performance and efficiency, we utilise a queue and a FIFO buffer area to store trace data which is finally written out to a trace file by an output driver. In particular, we use some database tables to save the final integrated traces for convenient post-analysis. We have implemented and evaluated a prototype object tracing system on Linux which patched with Lustre 1.4. 5 custom kernel patches. Our evaluation shows a low overhead tracing system.
Solving The Imprecise Weight Coefficients Knapsack Problem by Genetic Algorithms

This paper investigates solving the imprecise weight coefficients knapsack problem by genetic algorithms. We investigate the possibility of using genetic algorithms solving the fuzzy knapsack problem without defining membership functions for each imprecise weight coefficient. The proposed approach simulates a fuzzy number by distributing it into some partition points. We use genetic algorithms to evolve the values in each partition point so that the final values represent the membership grade of a fuzzy number. The fuzzy concept of the genetic algorithms approach is different, but gives better results than the traditional fuzzy approach.
Food image analysis for measuring food intake in free living conditions

Measuring the type and amount of food intake of free-living (outside controlled clinical research centers) people is an important task in nutrition research. One practical method, called the Remote Food Photography Method (RFPM),1 is to provide camera-equipped smartphones to participants, who are trained to take pictures of their foods and send these pictures to the researchers over a wireless network. These pictures can then be analyzed by trained raters to accurately estimate food intake, though the process can be labor intensive. In this paper, we describe a computer vision application to estimate food intake from the pictures captured and sent by participants. We describe the application in detail, including segmentation, pattern classification, volume estimation modules, and provide comprehensive experimental results to evaluate its performance.
The x86/64 Binary Code to Smart Intermediate Language Translation for Software Weakness

Today, the proportion of software in society as a whole is steadily increasing. In addition to size of software increasing, the number of cases dealing with personal information is also increasing. This shows the importance of weekly software security verification. However, software security is very difficult in cases where libraries do not have source code. To solve this problem, it is necessary to develop a technique for checking existing binary security weaknesses. To this end, techniques for analyzing security weaknesses using intermediate languages are actively being discussed. In this paper, we propose a system that translate binary code to intermediate language to effectively analyze existing security weaknesses within binary code.
Using a growing probabilistic neural network to reinforce a semi supervised support vector machine

In this paper, we propose to reinforce the Self-Training strategy in a semi-supervised learning by using a Growing Probabilistic Neural Network (GPNN) which combines clustering and classification. The main advantages of this neural network are the linkage between data topology preservation and classes representation by using the cluster posterior probabilities of classes. It is a constructive model without prior conditions such as a suitable number of neurons. A new neuron is inserted when new data are not represented by existing neurons. For the Self-Training strategy, we chose the Support Vector Machines (SVM) as classifier because the SVMs are a powerful machine learning technique based on the principle of structural risk minimization. The proposed approach has been tested on synthetic and real datasets. Obtained results are very promising.
Simultaneous Studies of Firing Patterns in Several Neurons

A tungsten microelectrode with several small holes burnt in the vinyl insulation enables the action potentials from several adjacent neurons to be observed simultaneously. A digital computer is used to separate the contributions of each neuron by examining and classifying the waveforms of the action potentials. These methods allow studies to be made of interactions between neurons that lie close together.
A full‐pivoting algorithm for the Cholesky decomposition of two‐electron repulsion and spin‐orbit coupling integrals

A significant reduction in the computational effort for the evaluation of the electronic repulsion integrals (ERI) in ab initio quantum chemistry calculations is obtained by using Cholesky decomposition (CD), a numerical procedure that can remove the zero or small eigenvalues of the ERI positive (semi)definite matrix, while avoiding the calculation of the entire matrix. Conversely, due to its antisymmetric character, CD cannot be directly applied to the matrix representation of the spatial part of the two‐electron spin‐orbit coupling (2e‐SOC) integrals. Here, we present a computational strategy to achieve a Cholesky representation of the spatial part of the 2e‐SOC integrals, and propose a new efficient CD algorithm for both ERI and 2e‐SOC integrals. The proposed algorithm differs from previous CD implementations by the extensive use of a full‐pivoting design, which allows a univocal definition of the Cholesky basis, once the CD δ threshold is made explicit. We show that 2δ is the upper limit for the errors affecting the reconstructed 2e‐SOC integrals. The proposed strategy was implemented in the ab initio program Computational Emulator of Rare Earth Systems (CERES), and tested for computational performance on both the ERI and 2e‐SOC integrals evaluation. © 2017 Wiley Periodicals, Inc.
European Commission, trade agreements and diversity of cultural expressions: Between autonomy and influence

The Convention on diversity of cultural expressions – adopted by United Nations Educational, Scientific and Cultural Organization in 2005 – is a main international instrument within the global governance of cultural and audiovisual industries. For its part, the European Commission played a critical role in the negotiation, leading to the Convention on Diversity of Cultural Expressions’ adoption. In this respect, the article aims to explore why and how the Commission uses the Convention on Diversity of Cultural Expressions throughout the recent European Union trade negotiations, for which purposes and how the Convention on Diversity of Cultural Expressions influences the European Union foreign policy and its objectives. The article is more concerned with analysing the policy process through which the Commission’s strategy is formulated in light of the Convention on Diversity of Cultural Expressions and of the place of cultural and audiovisual industries within the European Union trade agreements and also concerned with understanding whether the Commission’s autonomy is transformed into influence within the policy process.
Combining Multiple Clustering Methods Based on Core Group

As an unsupervised technique, clustering analysis has been widely applied in various fields. However, it is usually difficult to select an appropriate clustering method for an application, while no clustering method is suitable for all situations. This paper proposes a novel method to combine multiple clustering methods. First, the paper combines different agglomerative hierarchical methods in one clustering process to obtain core groups. Core group refers to the data that are always clustered together no matter what clustering method is applied. Then, it adopts other kind of clustering methods to refine the core groups and index database. In addition to conduct a series of experiments on the datasets from UCI, the paper applies the proposed method in a new research field, 3D model retrieval, to analyze and index the 3D model database.
Exact solutions of frustrated ordinary and chiral eight-site Hubbard models.

On aborde la question de savoir si oui ou non l'etat fondamental d'un modele de Heisenberg frustre a spin 1/2 peut etre regulierement relie a l'etat fondamental d'un modele simple de la liaison forte au remplissage a moitie dans un champ magnetique choisi de facon appropriee. On considere explicitement cette continuite pour un modele de Hubbard a reseau carre et a huit sites presentant des sauts entre proches voisins, qui approche un modele de Heisenberg frustre possedant le couplage d'echange antiferromagnetique des proches voisins dans la limite des fortes valeurs de V. On trouve un contre-exemple a la croyance largement repandue que la bande a moitie remplie du modele de Hubbard ordinaire est non magnetique dans le regime ou les parametres des sauts et l'interaction de Hubbard sont du meme ordre de grandeur