Miracle-dz/UniFAR-FTUs huggingface dataset:
Anthrax Edema Toxin Modulates PKA- and CREB-Dependent Signaling in Two Phases

Background Anthrax edema toxin (EdTx) is an adenylate cyclase which operates in the perinuclear region of host cells. However, the action of EdTx is poorly understood, especially at molecular level. The ability of EdTx to modulate cAMP-dependent signaling was studied in Jurkat T cells and was compared with that of other cAMP-rising agents: Bordetella pertussis adenylate cyclase toxin, cholera toxin and forskolin. Methodology/Principal Findings EdTx caused a prolonged increase of the intracellular cAMP concentration. This led to nuclear translocation of the cAMP-dependent protein kinase (PKA) catalytic subunit, phosphorylation of cAMP response element binding protein (CREB) and expression of a reporter gene under control of the cAMP response element. Neither p90 ribosomal S6 kinase nor mitogen- and stress-activated kinase, which mediate CREB phosphorylation during T cell activation, were involved. The duration of phospho-CREB binding to chromatin correlated with the spatio-temporal rise of cAMP levels. Strikingly, EdTx pre-treated T cells were unresponsive to other stimuli involving CREB phosphorylation such as addition of forskolin or T cell receptor cross-linking. Conclusions/Significance We concluded that, in a first intoxication phase, EdTx induces PKA-dependent signaling, which culminates in CREB phosphorylation and activation of gene transcription. Subsequently CREB phosphorylation is impaired and therefore T cells are not able to respond to cues involving CREB. The present data functionally link the perinuclear localization of EdTx to its intoxication mechanism, indicating that this is a specific feature of its intoxication mechanism.
Strong School-Community Partnerships in Inclusive Schools Are "Part of the Fabric of the School... We Count on Them".

School–community partnerships play an essential role in successful schools, often providing supports and resources to meet staff, family, and student needs that go beyond what is typically available through school. Reciprocally, community partners benefit from their relationships with schools, including learning about schools’ inclusive culture. To better understand strong community partnerships and what fosters their development, we conducted focus groups with community partners of five schools. The first main finding presented in this article is that these schools have a variety of partners and partnerships, but all partnerships are reciprocal in that they are mutually beneficial. The second set of findings presented include the school factors that were facilitators of successful school–community partnerships: strong school leadership, an inviting school culture, educator commitment to student success, and the ability to collaborate and communicate with community partners. The community partners in many of these schools emphasized how the culture of including all students and providing all students with an excellent education profoundly influenced how they perceived disability and how they used their new knowledge in other settings. Implications for practice and future research are discussed.
The RWTH 2007 TC-STAR evaluation system for european English and Spanish

In this work, the RWTH automatic speech recognition systems developed for the third TC-STAR evaluation campaign 2007 are presented. The RWTH systems make systematic use of internal system combination, combining systems with differences in feature extraction, adaptation methods, and training data used. To take advantage of this, novel feature extraction methods were employed; this year saw the introduction of Gammatone features and MLP based phone posterior features. Further improvements were achieved using unsupervised training, and it is notable that these improvements were achieved using a fairly low amount of automatically transcribed data. Also contributing to the improvements over last year was the switch to MPE training, and the introduction of projecting SAT transforms.
Evaluating Dependable Distributed Storage Systems

A method and apparatus for applying paste to battery grids wherein the paste is circulated in a primary circuit incorporating an open reservoir wherein the paste is relieved of all pumping pressure and portion of the paste is diverted from the primary circuit into a secondary circuit for delivery to a nozzle which may be selectively opened and closed to deliver paste to the grid, the secondary circuit also incorporates the open reservoir.
Cohort Profile Cohort Profile : Longitudinal Study of Adult Health ( ELSA-Brasil )

Chronic diseases are a global problem, yet information on their determinants is generally scant in lowand middle-income countries. The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) aims to contribute relevant information regarding the development and progression of clinical and subclinical chronic diseases, particularly cardiovascular diseases and diabetes, in one such setting. At Visit 1, we enrolled 15 105 civil servants from predefined universities or research institutes. Baseline assessment (2008–10) included detailed interviews and measurements to assess social and biological determinants of health, as well as various clinical and subclinical conditions related to diabetes, cardiovascular diseases and mental health. A second visit of interviews and examinations is under way (2012–14) to enrich the assessment of cohort exposures and to detect initial incident events. Annual surveillance has been conducted since 2009 for the ascertainment of incident events. Biological samples (sera, plasma, urine and DNA) obtained at both visits have been placed in long-term storage. Baseline data are available for analyses, and collaboration via specific research proposals directed to study investigators is welcome.
Algorithms for Mobile Nodes Self-Localisation in Wireless Ad Hoc Networks

This paper addresses the problem of position localisation of mobile nodes in ad hoc wireless networks based on received signal strength indicator measurements. Node mobility is modelled as a linear system driven by a discrete command Markov process. Self-localisation of mobile nodes is performed via an interacting multiple model filter consisting of a bank of unscented Kalman filters (IMM-UKF). Estimation of the mobility state, which comprises the position, speed and acceleration of the mobile nodes is accomplished. The performance of the IMM- UKF filter is investigated and compared to a multiple model particle filter (MM PF) by Monte Carlo simulation
A survey of GNE computation methods: theory and algorithms

This paper deals with optimization methods solving the generalized Nash equilibrium problem (GNEP), which extends the standard Nash problem by allowing constraints. Two cases are considered: general GNEPs where constraint functions are individualized and jointly convex GNEPs where there is a common constraint function. Most recent methods are benchmarked against new methods. Numerical illustrations are proposed with the same software for a fair benchmark.
An endosomal syntaxin and the AP-3 complex are required for formation and maturation of candidate lysosome-related secretory organelles (mucocysts) in Tetrahymena thermophila

Lysosome-related organelles (LROs) are secretory organelles formed by convergence between secretory and endosomal trafficking pathways. In Tetrahymena, secretory vesicles that resemble dense core granules are a new class of LROs whose synthesis depends on a conserved syntaxin required for heterotypic fusion and AP-3 for maturation.
MUTANT: Model-Driven Unit Testing using ASCII-art as Notational Text

There are two established strategies to create test models: Textual notations require developers to mentally reconstruct the involved graph structures ad hoc; maintenance eort and time are increased. Ex- isting visual notations compel developers to switch frequently between dierent editors; keeping the resulting test artifacts synchronized is com- plicated by insucient tool support. In this paper, we propose to specify test models using ASCII-art { a text-based visual notation used by de- velopers in their everyday practices. To outline our vision, we employ a motivating example and discuss challenges such as editing, collaboration, and scalability. The discussion sheds a promising light on the new idea, notably for its usefulness in collaborative and reuse-intensive settings.
High-dimensional chaotic dynamics of an external cavity semiconductor laser.

We report experimental realization of high-dimensional chaos in a semiconductor laser with delayed feedback from a T-shaped cavity. We study the transition phenomena from regular to high-dimensional chaotic behavior and analyze the time series quantitatively. Correlation dimensions up to ${C}_{2}\ensuremath{\simeq}7$ are determined reliably from experimental data by a combination of a singular value analysis and a Grassberger-Procaccia algorithm. Modeling the dynamical behavior using semiclassical delay rate equations provides a basic understanding of the observed delay-induced instabilities.
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization

Bayesian matrix completion has been studied based on a low-rank matrix factorization formulation with promising results. However, little work has been done on Bayesian matrix completion based on the more direct spectral regularization formulation. We fill this gap by presenting a novel Bayesian matrix completion method based on spectral regularization. In order to circumvent the difficulties of dealing with the orthonormality constraints of singular vectors, we derive a new equivalent form with relaxed constraints, which then leads us to design an adaptive version of spectral regularization feasible for Bayesian inference. Our Bayesian method requires no parameter tuning and can infer the number of latent factors automatically. Experiments on synthetic and real datasets demonstrate encouraging results on rank recovery and collaborative filtering, with notably good results for very sparse matrices.
Incursion-Tolerance Based Secure Routing for Mobile Ad Hoc Networks

Mobile ad hoc networks is a dynamic wireless self-organizing networks. Routing techniques is a greatly import part of wireless networks protocol. Some recent routing protocol take into account secure factor, but these protocols yet cannot sufficient the actual demand because of the various forms of attacks to mobile self-organizing networks and self frangibility of mobile ad hoc networks. In this paper, the limitation of typical secure protocol has been analyzed, and designing a new routing Incursion-Tolerance based protocol ITDSR. It adopt work in natural monitoring mode to assure building quickest path between original node and destination node, and resolved the problems that baleful node could be contained in path on route discovery phase whereas initiate attack on transmitting data phase, and jam network on some node because of single path.
A review on EEG based brain computer interface systems feature extraction methods

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each phase Feature extraction is one of the most important stages in distinguishing of brain activities from EEG. New features are produced by primary features. Today, in the field of EEG signal processing methods for the best feature extraction are so important. In this article we mentioned EEG based brain computer interface ( BCI) systems feature extraction such as Principle Component Analysis (PCA), Linear Discriminant Analysis(LDA), Independent Component Analysis (ICA), Mutual information theory (MI), Empirical Mode Decomposition(EMD), High–order frequency component, Wavelet Transform, Common Spatial Pattern ( CSP), Complex Band Power (CBP).
Cyclic di-GMP is Essential for the Survival of the Lyme Disease Spirochete in Ticks

Cyclic dimeric GMP (c-di-GMP) is a bacterial second messenger that modulates many biological processes. Although its role in bacterial pathogenesis during mammalian infection has been documented, the role of c-di-GMP in a pathogen's life cycle within a vector host is less understood. The enzootic cycle of the Lyme disease pathogen Borrelia burgdorferi involves both a mammalian host and an Ixodes tick vector. The B. burgdorferi genome encodes a single copy of the diguanylate cyclase gene (rrp1), which is responsible for c-di-GMP synthesis. To determine the role of c-di-GMP in the life cycle of B. burgdorferi, an Rrp1-deficient B. burgdorferi strain was generated. The rrp1 mutant remains infectious in the mammalian host but cannot survive in the tick vector. Microarray analyses revealed that expression of a four-gene operon involved in glycerol transport and metabolism, bb0240-bb0243, was significantly downregulated by abrogation of Rrp1. In vitro, the rrp1 mutant is impaired in growth in the media containing glycerol as the carbon source (BSK-glycerol). To determine the contribution of the glycerol metabolic pathway to the rrp1 mutant phenotype, a glp mutant, in which the entire bb0240-bb0243 operon is not expressed, was generated. Similar to the rrp1 mutant, the glp mutant has a growth defect in BSK-glycerol medium. In vivo, the glp mutant is also infectious in mice but has reduced survival in ticks. Constitutive expression of the bb0240-bb0243 operon in the rrp1 mutant fully rescues the growth defect in BSK-glycerol medium and partially restores survival of the rrp1 mutant in ticks. Thus, c-di-GMP appears to govern a catabolic switch in B. burgdorferi and plays a vital role in the tick part of the spirochetal enzootic cycle. This work provides the first evidence that c-di-GMP is essential for a pathogen's survival in its vector host.
Clinical-Community Relationships Evaluation Roadmap

This document is in the public domain and may be used and reprinted with permission except those copyrighted materials that are clearly noted in the document. Further reproduction of those copyrighted materials is prohibited without the specific permission of copyright holders. The findings and conclusions in this document are those of the authors, who are responsible for its contents; the findings and the conclusions do not necessarily represent the views of AHRQ. None of the investigators has any affiliations or financial involvement that conflicts with the material presented in this report.
Constellation and labeling optimization for bit-interleaved coded spatial modulation system

In spatial modulation (SM) systems, the distribution of amplitude-phase modulation (APM) symbol causes the tradeoff of detection performance between APM symbol and active antenna, which infers the overall capacity of SM system. In this paper, the APM constellation and symbol labeling of SM system is investigated. The optimized APM constellation is designed to maximize the system coded modulation average mutual information (CM-AMI). The symbol labeling of SM system is optimized with binary switching algorithm (BSA) using the symbol detection pairwise error probability (PEP) criteria. Moreover, the proposed APM constellation and symbol labeling are applied in a coded spatial modulation (SM) system with the bit-interleaved coded modulation and iterative demapping (BICM-ID). Simulation result shows the BICM-ID SM system with proposed constellation and symbol labeling has a signal-to-noise ratio (SNR) gain compared to conventional constellation system and independent demapping system.
Soil moisture retrieval from ASAR measurements over natural surfaces with a large roughness variability

In this work, the accuracy of soil moisture retrieved from ASAR data over bare or sparsely vegetated surfaces is investigated by means of a simulation study. The soil moisture retrieval method is based on an optimization algorithm that appropriately inverts theoretical direct models by assimilating a priori information on surface parameters. In order to account for a large variability of roughness conditions, two complementary models have been used, namely the integral equation method model and the geometrical optics model. The performance of the inversion method has been assessed on simulated noisy ASAR data, as a function of different a priori information quality level.
Community members’ responses to the elective hysterectomy of an intellectually disabled girl

The United Nations Convention on the Rights of People with Disabilities (2007) guarantees all intellectually disabled women the right to full bodily integrity. However, non-therapeutic sterilisations continue to be proposed as a means of managing the support needs of some members of this group. The opinions of community members, and whether men and women’s views differ in relation to this topic, are rarely canvassed. Yet these views are significant as what constitutes acceptable social practice is ultimately set and contested at community level. This article reviews comments posted by male and female contributors to a BBC Have Your Say website about a mother’s request for a hysterectomy for her ‘severely disabled’ daughter. Comments suggest the majority of posters endorse the request, however a marked difference by gender in reasons for support is evident. Gender differences are also noted in remarks about the social implications of requests of this kind and in the gender of contributors who thought this topic to be unsuitable for discussion in public forum. The difficulty some posters had with comments made from a rights-based advocacy position is briefly discussed as are possible limitations involved in using rights when debating the issue of non-therapeutic sterilisation.
Yoga and Psychotherapy: A Review of the Literature

Yoga is an ancient discipline focusing on the union of the mind and body. In recent years, Yoga has generated much interest within the scientific community regarding its physiological and psychological benefits, including its power as a healing modality. To date, studies of variable quality have been conducted examining Yoga as a treatment for mental disorders, including mood disorders, anxiety disorders, drug addiction, mental retardation, pain management, and body image. While these studies as a whole suggest that Yoga may be a promising treatment, much work remains to be done before drawing any valid, scientific conclusions. Specifically, more and better-designed studies need to be conducted in order to conclusively demonstrate Yoga's usefulness as a treatment for certain mental disorders. In order to add to the existing knowledge base, future studies will need to more clearly define Yoga and develop better controls for variables such as cultural expectations and personal motivation. Ultimately, a seco.
National Leaders’ Twitter Speech to Infer Political Leaning and Election Results in 2015 Venezuelan Parliamentary Elections

The large adoption of Twitter during electioneering has created a valuable opportunity to monitor political deliberation nationwide. Recent work has analyzed online attention to forecast elections results addressing some limitations of opinion polling. However, the reproducibility of such methods remains a challenge given that most of them rely on the number of political parties or candidates mentions. In this study, we propose a method to infer citizens' political alignment in order to predict elections results. To this end, first we collect 750K tweets posted during 2015 Venezuelan Parliamentary election either inside the Venezuela's bounding box or by its political leaders. Second, we build a dictionary characterizing the political leader's speech applying automated content analysis to our corpus. We show that the automatically generated dictionary is an useful tool to improve the accuracy on political election results prediction tasks. Third, using a data set of 1,000 manually-annotated individuals, we show that a support vector machine (SVM) classifier trained on our political dictionary predicts the user political alignment with 87% of accuracy. Finally, using our political dictionary, we design a simple metric to quantify the political lining reflected in a given tweet. We find that the tweets categorized with this metric reflect election results, with 98.72% of accuracy (1.28% mean squared error).
Hoops, nets, and ballots : investigating the relationship between competitive sport socialization and political participation of female candidates

Although more women are successfully breaching the social, economic and political barriers that can prevent them from participating as electoral candidates, few women campaign for elected office. A dearth of female candidates may be understandable, given research demonstrating that women tend to avoid competition and competitive environments. Thus, elections – competitive by design – may attract fewer women than men. This thesis posits that the inherent competitiveness of electoral politics may deter women from campaigning for office. However, this work also forwards that competitive sport socialization during adolescence may prepare women for electoral competition. This paper examines the results of a self-administered survey mailed to 449 female candidates for municipal office. The survey investigated candidates’ adolescent experiences in competitive sports and attitudes relating to internal political efficacy. The results appear to demonstrate a strong correlation between competitive sport socialization and either positive or neutral evaluations of political competition.
The Algorithm of Mining Frequent Closed Itemsets Based on Index Array

The set of frequent closed itemsets determines exactly the complete set of all frequent itemsets and is usually much smaller than the latter. In this paper, an algorithm based on index array for mining frequent closed itemsets, Index-FCI is proposed. The vertical BitTable is adopted to compress the dataset for counting fast the support. To make use of the horizontal BitTable, the index array corresponding to the database is constructed and a new concept GFI (Great Frequent Itemset) is defined, which can be quickly found from the index array to reduce the closed itemsets checking. The hash table whose hash function value is the support of the itemset is created to remove any frequent but “non-closed” itemsets using the hash pruning. In Index-FCI, the database is firstly compressed into BitTable; secondly, the index array corresponding to the dataset is constructed; thirdly, GFI is found from the index array and the hash table is created to store frequent closed itemsets; finally, the hash table is traversed to obtain all frequent closed itemsets. Experimental results show that Index-FCI is suitable for mining frequent closed itemsets.
Presentation of the French adaptation of the Parenting Alliance Inventory: Issues in defining and measuring coparenting

The Parenting Alliance Inventory (PAI) is a 20-item questionnaire designed to assess parental alliance as defined by Weissman and Cohen’s theory of parenting alliance. This article aims to describe the first steps in factor structure and construct validation of the French version. A total of 202 French cohabiting parents completed this questionnaire, with the Dyadic Adjustment Scale (a measure of marital satisfaction) and the Parental Stress Index. The results of French families differed from those of American families on the number of factors: first, four factors rather than the original two-factor solution more meaningfully described the French data; and second, only 17 items distributed into these four subscales. Then, these subscales correlated with measures of dyadic adjustment and Parental Stress Index. These findings support the construct validity of the French version of questionnaire, but lead to a discussion of issues in defining and measuring coparenting.