Miracle-dz/UniFAR-FTUs huggingface dataset:
Fimch antiserum inhibits the adherence of Escherichia coli to cells collected by voided urine specimens of diabetic women.

PURPOSE With the increasing problem of resistance in pathogenic microorganisms the development of nonantimicrobial therapies is important. Diabetes mellitus (DM) is associated with an increased incidence of urinary tract infections. The majority of Escherichia coli strains, which is the most prevalent uropathogen, have type 1 fimbriae that bind to uroplakin in the bladder, as mediated by the adhesin FimH. A vaccine is being developed based on FimH adhesion. MATERIALS AND METHODS The sequence of FimH adhesion of 29 E. coli strains isolated from women with DM was determined. For adherence experiments we used E. coli isolated from women with DM and a T24 bladder cell line as well as the 2 well-defined type 1 fimbriated E. coli strains Ctrl 39 and NU14, and uroepithelial cells from women with DM. RESULTS The fimH sequence of E. coli strains isolated from women with DM was highly homologous to the known fimH sequence of E. coli from patients without DM. Adherence assays in a T24 bladder cell line showed that adherence of these E. coli strains from women with DM could be inhibited by pre-incubation with antiserum raised against the chaperone-adhesin complex FimC-FimH. AntiFimCH antiserum also inhibited the adherence of the 2 well-defined E. coli strains expressing type 1 fimbriae, NU14 and Ctrl 39, but not of the FimH mutant strain NU14 H-, to uroepithelial cells from women with DM. CONCLUSIONS These findings suggest that a vaccine based on FimH adhesin of type 1 fimbriated E. coli is a potential method of preventing urinary tract infection in women with DM.
Kindlin-1 Regulates Integrin Dynamics and Adhesion Turnover

Loss-of-function mutations in the gene encoding the integrin co-activator kindlin-1 cause Kindler syndrome. We report a novel kindlin-1-deficient keratinocyte cell line derived from a Kindler syndrome patient. Despite the expression of kindlin-2, the patient’s cells display several hallmarks related to reduced function of β1 integrins, including abnormal cell morphology, cell adhesion, cell spreading, focal adhesion assembly, and cell migration. Defective cell adhesion was aggravated by kindlin-2 depletion, indicating that kindlin-2 can compensate to a certain extent for the loss of kindlin-1. Intriguingly, β1 at the cell-surface was aberrantly glycosylated in the patient’s cells, and its expression was considerably reduced, both in cells in vitro and in the patient’s epidermis. Reconstitution with wild-type kindlin-1 but not with a β1-binding defective mutant restored the aberrant β1 expression and glycosylation, and normalized cell morphology, adhesion, spreading, and migration. Furthermore, the expression of wild-type kindlin-1, but not of the integrin-binding-defective mutant, increased the stability of integrin-mediated cell-matrix adhesions and enhanced the redistribution of internalized integrins to the cell surface. Thus, these data uncover a role for kindlin-1 in the regulation of integrin trafficking and adhesion turnover.
Techniques d'apprentissage supervisé pour l'extraction d'événements TimeML en anglais et français

Identifying events from texts is an information extraction task necessary for many NLP applications. Through the TimeML specifications and TempEval challenges, it has received some attention in the last years, yet, no reference result is available for French. In this paper, we try to fill this gap by proposing several event extraction systems, combining for instance Conditional Random Fields, language modeling and k-nearest-neighbors. These systems are evaluated on French corpora and compared with state-of-the-art methods on English. The very good results obtained on both languages validate our whole approach.
Accelerating SENSE using compressed sensing

Both parallel MRI and compressed sensing (CS) are emerging techniques to accelerate conventional MRI by reducing the number of acquired data. The combination of parallel MRI and CS for further acceleration is of great interest. In this paper, we propose a novel method to combine sensitivity encoding (SENSE), one of the standard methods for parallel MRI, and compressed sensing for rapid MR imaging (SparseMRI), a recently proposed method for applying CS in MR imaging with Cartesian trajectories. The proposed method, named CS‐SENSE, sequentially reconstructs a set of aliased reduced‐field‐of‐view images in each channel using SparseMRI and then reconstructs the final image from the aliased images using Cartesian SENSE. The results from simulations and phantom and in vivo experiments demonstrate that CS‐SENSE can achieve a reduction factor higher than those achieved by SparseMRI and SENSE individually and outperform the existing method that combines parallel MRI and CS. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.
Sub‐millimeter fMRI at 1.5 tesla: Correlation of high resolution with low resolution measurements

Functional magnetic resonance imaging of the visual cortex with an in‐plane resolution of 0.4 × 0.4 mm2 was performed using a simple visual stimulus resulting in clear maps of activation. A collapsing filter was used to compare these high‐resolution images with low‐resolution images collected during the same session. A good correspondence between the high‐ and low‐resolution functional maps was found with respect to the center of localization of activation. However, only 20% of the size of activated areas in the low‐resolution experiment was observed at high resolution, which was partly caused by the difference in signal‐to‐noise ratio. The high‐resolution images produce signal changes much higher than the low‐resolution images due to reduced partial volume effects. Additionally, the high‐resolution functional maps were compared with detailed anatomical and venous information. The activated areas were predominantly observed at venous vessels within the sulci with a diameter on the order of the pixel size. J. Magn. Reson. Imaging 1999;9:475–482. © 1999 Wiley‐Liss, Inc.
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning

Faced with massive data, is it possible to trade off (statistical) risk, and (computational) space and time? This challenge lies at the heart of large-scale machine learning. Using k-means clustering as a prototypical unsupervised learning problem, we show how we can strategically summarize the data (control space) in order to trade off risk and time when data is generated by a probabilistic model. Our summarization is based on coreset constructions from computational geometry. We also develop an algorithm, TRAM, to navigate the space/time/data/risk tradeoff in practice. In particular, we show that for a fixed risk (or data size), as the data size increases (resp. risk increases) the running time of TRAM decreases. Our extensive experiments on real data sets demonstrate the existence and practical utility of such tradeoffs, not only for k-means but also for Gaussian Mixture Models.
The role of Willis circle variations during unilateral selective cerebral perfusion: a study of 500 circles.

OBJECTIVES During unilateral selective cerebral perfusion (uSCP), with right axillary artery or brachiocephalic trunk cannulation, the brain receives blood only via the right common carotid artery and right vertebral artery (VA). The left hemisphere is perfused mainly through the circle of Willis (CW). However, at least 50% of individuals have some variation in the CW. The aim of the present work was to study the variations in CW and VA that could have an impact on haemodynamics during uSCP. METHODS From May 2005 to March 2012, a total number of 250 circles obtained via routine dissection for medico-legal reasons were examined. The external diameters of all CW segments and both VAs were measured. From January 2008 to March 2012, a total number of 250 patients subjected to computed tomographic angiography of the CW were also examined. RESULTS Nine evident configurations of the CW that could cause hypoperfusion during uSCP were observed. They were subdivided in to seven types, according to location and the number of major vessels at risk of hypoperfusion. Type IA: hypo/aplasia of left posterior communicating artery (PComA), found in 35.6% of cases; Type IB: hypo/aplasia of anterior communicating artery (AComA), found in 2% of cases; Type IIA: hypo/aplasia of both left PComA and AComA, found in 4.8% of cases; Type IIB: hypo/aplasia of precommunicating (P1) segment of left posterior cerebral artery or right VA, found in 9.2% of cases; Type IIIA: hypo/aplasia of precommunicating (A1) segment of right anterior cerebral artery, found in 6% of cases; Type IIIB: hypo/aplasia of both right VA and AComA, found in 0.2% of cases; Type IV: hypo/aplasia of both right A1 and right VA or both right A1 and left P1, found in 0.8% of cases. All types were present in 58.6% of all examined CWs. CONCLUSIONS Our results show that CW variations are present in a significant number of patients. Our data support the need for extensive preoperative examination and meticulous intraoperative monitoring of cerebral perfusion during uSCP. Finally, our data support the superiority of bilateral SCP over uSCP, because most of the variations reported do not have haemodynamic significance during bilateral SCP.
Comparison of Newborn Outcomes in Women with Gestational Diabetes Mellitus Treated with Metformin or Insulin: A Randomised Blinded Trial

Background: Few studies have been done on the use of metformin in pregnancy and their results were not similar, therefore this research is performed to compare neonatal outcomes of metformin and insulin in the treatment of gestational diabetes. Methods: In this prospective randomized trial, 200 pregnant women within their 24th to 34th weeks of gestation with gestational diabetes, single fetus pregnancy, and in need of hyperglycemia treatment were entered and grouped as either metformin or insulin. Data related to maternal and neonatal outcomes were recorded and analyzed. Results: Considering data recorded of HbA1c at the beginning of pregnancy, pregnancy induced hypertension, preeclampsia, birth weight, dystocia, first and 5th min APGAR, neonatal sepsis, rout of delivery, liver function tests of neonate, hypoglycemia, anomaly, and still birth, there were no significant statistical differences between groups. The end pregnancy HbA1c, maternal weight gain during pregnancy, preterm labor, neonatal jaundice, respiratory distress and hospitalization of infants were higher in insulin group. Conclusions: Considering data from this study, metformin is efficient to control hyperglycemia in pregnancy. It is suggested performing more studies to evaluate long term side effects of metformin in pregnancy with higher sample size and longer follow-up of newborns.
Kinematics of the helium accretor GP Com

I present and analyse time-resolved B-band spectra of the double-degenerate binary star GP Com. The spectra confirm the presence and period (46.5 min) of the `S'-wave feature found by Nather, Robinson & Stover. GP Com is erratically variable at X-ray and UV wavelengths. I find the equivalent variability in my data, which, as also seen in UV data, is mostly confined to the emission lines. The He ii 4686 changes by the largest amount, consistent with X-ray-driven photoionization. The flaring part of the line profiles is broader than the average, as expected if they are dominated by the inner disc. The He ii 4686 profile is especially remarkable in that its blueshifted peak is 1400 km s-1 from line centre compared with 700 km s-1 for the He i lines (the redshifted peak is blended with He i 4713). I deduce that He ii 4686 emission is confined to the inner 1/4 of the disc. I also suggest that the activity of the inner disc indicates that accretion is significant (and unstable) there, in contrast to quiescent dwarf novae; this supports models in which GP Com is in a (quasi-)steady state of low mass transfer rate. GP Com shows triple-peaked line profiles, which consist of the usual double-peaked profiles from a disc plus a narrow component at line centre. The latter has previously been ascribed to emission from a nebula, although none could be found in direct images. However, I find evidence for both radial velocity and flux variability in this component, inconsistent with a nebula origin. The radial velocity amplitude of 10.8±1.6 km s−1 and its phase relative to the `S'-wave are consistent with an origin on the accreting white dwarf, if the mass ratio, q=M2/M1, is of order 0.02, as expected on evolutionary grounds. However, this explanation is still not satisfactory, as the systemic velocity of the narrow component shows significant variation from line to line, and I have no explanation for this.
Nonparametric inference for time‐dependent incremental cost‐effectiveness ratios

As the costs of medical care increase, more studies are evaluating cost in addition to effectiveness of treatments. Cost‐effectiveness analyses in randomized clinical trials have typically been conducted only at the end of follow‐up. However, cost‐effectiveness may change over time. We therefore propose a nonparametric estimator to assess the incremental cost‐effectiveness ratio over time. We also derive the asymptotic variance of our estimator and present formulation of Fieller‐based simultaneous confidence bands. Simulation studies demonstrate the performance of our point estimators, variance estimators, and confidence bands. We also illustrate our methods using data from a randomized clinical trial, the second Multicenter Automatic Defibrillator Implantation Trial. This trial studied the effects of implantable cardioverter‐defibrillators on patients at high risk for cardiac arrhythmia. Results show that our estimator performs well in large samples, indicating promising future directions in the field of cost‐effectiveness. Copyright © 2015 John Wiley & Sons, Ltd.
Exchangeable equilibria

The main contribution of this thesis is a new solution concept for symmetric games (of complete information in strategic form), the exchangeable equilibrium. This is an intermediate notion between symmetric Nash and symmetric correlated equilibrium. While a variety of weaker solution concepts than correlated equilibrium and a variety of refinements of Nash equilibrium are known, there is little previous work on " interpolating " between Nash and correlated equilibrium. Several game-theoretic interpretations suggest that exchangeable equilibria are natural objects to study. Moreover, these show that the notion of symmetric correlated equilibrium is too weak and exchangeable equilibrium is a more natural analog of correlated equilibrium for symmetric games. The geometric properties of exchangeable equilibria are a mix of those of Nash and correlated equilibria. The set of exchangeable equilibria is convex, compact, and semi-algebraic, but not necessarily a polytope. A variety of examples illustrate how it relates to the Nash and correlated equilibria. The same ideas which lead to the notion of exchangeable equilibria can be used to construct tighter convex relaxations of the symmetric Nash equilibria as well as convex relaxations of the set of all Nash equilibria in asymmetric games. These have similar mathematical properties to the exchangeable equilibria. An example game reveals an algebraic obstruction to computing exact ex-changeable equilibria, but these can be approximated to any degree of accuracy in polynomial time. On the other hand, optimizing a linear function over the exchangeable equilibria is NP-hard. There are practical linear and semidefinite programming heuristics for both problems. A secondary contribution of this thesis is the computation of extreme points of the set of correlated equilibria in a simple family of games. These examples illus-4 trate that in finite games there can be factorially many more extreme correlated equilibria than extreme Nash equilibria, so enumerating extreme correlated equi-libria is not an effective method for enumerating extreme Nash equilibria. In the case of games with a continuum of strategies and polynomial utilities, the examples illustrate that while the set of Nash equilibria has a known finite-dimensional description in terms of moments, the set of correlated equilibria admits no such finite-dimensional characterization. Dedicated to Marianne Cavanaugh, who once said she would be slightly disappointed if I never wrote this.
marrow cells induces stem cell expansion gene in bone Hoxa 9 associated − Overexpression of the myeloid leukemia

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Towards an access control mechanism for wide-area publish/subscribe systems

The publish/subscribe communication model is increasingly considered for implementing middleware infrastructures for widely distributed applications. Scalability issues and routing algorithms of such systems have recently been the focus of intensive research. So far little attention has been given to the security and management issues. In current publish/subscribe systems, malicious publishers can very easily insert bogus notifications which may propagated to a large number of subscribers. Moreover, there is no method to control what notifications the subscribers are authorized to receive. We describe a method to specify access control policy rules using expressions similar to subscription expressions. These policies define access rules for publish and subscribe functions and screening rules for notifications.
Parameterized generation of labeled datasets for text categorization based on a hierarchical directory

Although text categorization is a burgeoning area of IR research, readily available test collections in this field are surprisingly scarce. We describe a methodology and system (named ACCIO) for automatically acquiring labeled datasets for text categorization from the World Wide Web, by capitalizing on the body of knowledge encoded in the structure of existing hierarchical directories such as the Open Directory. We define parameters of categories that make it possible to acquire numerous datasets with desired properties, which in turn allow better control over categorization experiments. In particular, we develop metrics that estimate the difficulty of a dataset by examining the host directory structure. These metrics are shown to be good predictors of categorization accuracy that can be achieved on a dataset, and serve as efficient heuristics for generating datasets subject to user's requirements. A large collection of automatically generated datasets are made available for other researchers to use.
BASIC ANALYSIS ON PROSODIC FEATURES IN EMOTIONAL SPEECH

Speech is a rich source of information which gives not only about what a speaker says, but also about what the speaker’s attitude is toward the listener and toward the topic under discussion—as well as the speaker’s own current state of mind. Recently increasing attention has been d irected to the study of the emotional content of speech signals, and hence, many systems have been proposed to identify the emotional content of a spoken utterance. The focus of this research workis to enhance man machine interface by focusing on u ser’s speech emotion. This paper gives the results of the basic analysis on prosodic features and also compares the prosodic fe atures of, various types and degrees of emotional expressions in Tamil speech based on the auditory impressions between the two genders of speakers as well as listeners. The speech samples consist of “neutral” speech as well as speech with three types of emotions (“anger”, “joy”, and “sadness”) of three degrees (“light”, “medium”, and “strong”). A listening test is also being conducted using 300 speech samples uttered by students at the ages of 19-22 the ages of 19-22 years old. The features of prosodic parameters based on the emotional speech classified according to the auditory i mpressions of the subjects are analyzed. Analysis results suggest that prosodic features that identify their emotions and degrees are not only speakers’ gender dependent, but also listeners’ gender dependent.
Manipulation of Large Objects by Swarms of Autonomous Marine Vehicles: Part I - Rotation

In this paper, the control problem of utilizing a team of autonomous marine vehicles (i.e., tug boats) cooperating to manipulate a larger floating object (i.e., disabled ship) while operating in a decentralized architecture is considered. After decomposing the problem into several phases, a control design targeting the issue of inducing controlled rotations for the manipulated object is presented. I. Introduction Swarms - large groups of relatively simple and cheap robots working in concert without a centralized decision maker - have been a popular area of research over the past few years. Land-based mobile robots are the most typical type of swarm considered although some work on unmanned aerial vehicles (UAVs) have emerged in recent years. Most of the current literature considers using the distributed sensing capabilities of the group for reconnaissance and information gathering. In contrast, few works actually address the issue of how swarms can influence their surrounding environment. The goal of this project is to allow a single human operator exert high-level control of the on-water ma- nipulation of large objects using swarms of autonomous marine (surface) vessels. On-water manipulation of large objects by a swarm of small autonomous vehicles is a novel area of investigation with naval applications to marine ordinance disposal, transportation of disabled ships, and assembly of large marine structures such as positioning sonar arrays for littoral surveillance or construction of off-shore platforms and bases. Aside from these direct applications, the methodology developed will have indirect application to land-based robot swarms, swarm reconnaissance and exploration missions, and micro-assembly tasks. Distributed manipulation is a topic considered in the robotics literature, although it is generally limited to kinematic analysis of small numbers of robots with centralized decision making. In addition, the authors are not aware of any work considering the unique dynamics of marine vehicles. A rigorous second order dynamic anal- ysis of controllability and manipulability issues related to pushing objects with single robot is presented in (6).
CATrust: Context-Aware Trust Management for Service-Oriented Ad Hoc Networks

We propose a context-aware trust management model called CATrust for service-oriented ad hoc networks such as peer-to-peer and Internet of Things networks wherein a node can be a service requester or a service provider. The novelty of our design lies in the use of logistic regression to dynamically estimate trustworthiness of a service provider based on its service behavior patterns in response to context environment changes. We develop a recommendation filtering mechanism to effectively screen out dishonest recommendations even in extremely hostile environments in which the majority recommenders are dishonest. We demonstrate desirable convergence, accuracy, and resiliency properties of CATrust. We also demonstrate that CATrust outperforms contemporary peer-to-peer and Internet of Things trust models in terms of service trust prediction accuracy against collusion recommendation attacks.