Miracle-dz/UniFAR-FTUs huggingface dataset:
The increase in serum soluble ST2 protein upon acute exacerbation of idiopathic pulmonary fibrosis.

BACKGROUND The human ST2 gene can be specifically induced by growth stimulation in fibroblastic cells, and the soluble ST2 protein (ST2) is expressed preferentially in T-helper type 2 (Th2) cells. Furthermore, ST2 is induced by proinflammatory stimuli such as tumor necrosis factor-alpha and interleukin-1 beta. It has been reported that the inflammatory response in idiopathic pulmonary fibrosis (IPF) is thought to be associated with proinflammatory cytokines and Th2 immune response. STUDY OBJECTIVE The objective of this study was to evaluate the relevance of the serum ST2 levels in the pathogenesis of IPF. DESIGN Retrospective study. SETTING Inpatients in a college hospital. PARTICIPANTS Forty-nine patients with IPF admitted to our hospital 64 times: 36 patients were admitted once, 11 patients were admitted twice, and 2 patients were admitted three times. The participants also included 200 healthy control volunteers. MEASUREMENTS AND RESULTS Among 64 events in 49 patients with IPF, 50 of the events occurred in a stable state, and 14 events occurred during acute exacerbation. An acute exacerbation of IPF was defined as an accelerated phase of IPF. The serum ST2 levels were measured by enzyme-linked immunosorbent assay. The serum levels of ST2 in the stable state group did not differ from those in the healthy control group, while the serum levels of ST2 in the acute exacerbation group were significantly higher than those in the stable state group or the healthy control group (p < 0.001, acute exacerbation group vs stable state group or healthy control group; acute exacerbation group, 2.76 +/- 0.56 ng/mL; stable state group, 0.44 +/- 0.07 ng/mL; healthy control group, 0.42 +/- 0.03 ng/mL). Furthermore, serum ST2 statistically correlated with lactate dehydrogenase (r = 0.344, p = 0.005) and C-reactive protein (r = 0.496, p < 0.001), and inversely correlated with PaO(2) (r = - 0.356, p = 0.018) and the percentage of predicted vital capacity (r = - 0.346, p = 0.026). CONCLUSIONS These results suggest that ST2 protein may increase in the serum, reflecting severity in the inflammatory process and Th2 immune response in the IPF lung.
R(h)oads to microvesicles

A novel form of cell-to-cell communication involving the formation and shedding of large vesicular structures, called microvesicles (MVs), from the surfaces of highly aggressive forms of human cancer cells has been attracting increasing amounts of attention. This is in large part due to the fact that MVs contain a variety of cargo that is not typically thought to be released from cells including cell-surface receptor tyrosine kinases, cytosolic and nuclear signaling proteins and RNA transcripts. MVs, by sharing their contents with other cells, can greatly impact cancer progression by increasing primary tumor growth,1–3 as well as by promoting the development of the pre-metastatic niche.4 We have recently shown that the small GTPase RhoA is critical for MV biogenesis in human cancer cells. Moreover, we have now obtained evidence that implicates the highly related small GTPases, Rac and Cdc42, in regulating the loading of specific cargo into MVs, as well as in the shedding of MVs from cancer cells. Thus, linking the Rho family of small GTPases to MV biogenesis has begun to shed some light on a new and unexpected way that these signaling proteins contribute to human cancer progression.
Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation

Semi-supervised learning methods can largely leverage the image annotation problem using both labeled and unlabeled data, especially when the labeled information is quite limited. However, most of them suffer the expensive computation stemming from the batch learning on large training dataset. In this paper we proposed a highly efficient semi-supervised annotation approach with the partial label propagation based on the graph representation. Specifically, the label information is first propagated from labeled samples to the unlabeled ones, and then spreads only among unlabeled ones like a spreading activation network. Our approach takes advantage of the decomposed formulation to achieve a fast incremental learning instead of the expensive batch one without accuracy loss. Extensive evaluations over two large datasets demonstrate the superior performance of the proposed method and its significant efficiency.
Future trends in test: the adoption and use of low cost structural testers

Recently, low cost and desktop structural testers have become popular for various reasons. Although originally aimed at reducing production test costs, they have quickly migrated to other niches and have proven useful in reducing not only cost, but time-to-market. Tracking the "use" spaces has resulted in identifying three clearly different areas of application: design-desktop, correlation-lab, and the production-test floor. These spaces have defined tasks such as characterization, first silicon bring-up, test program development, yield-learning diagnosis, and production probe, some of which be described as case studies.
Modeling Network with Topic Model and Triangle Motif

This paper describes a hierarchical model based on triangle motif and topic model, considering both network data and node attribute. The attribute of nodes we study here is text, so we choose document network as our research content. We represent the document network with triangle motif, which has good scalability on large amount of data. This representation makes the complexity of our approach grows linearly in the number of documents, and more relational with the max degree of the network. We extend hLDA by incorporating network data, remodeling the hLDA. Using non-parametric Bayesian model, our approach does not need pre-specification of the branch factor at each non-terminal. The model is suitable for large-scale network of academic abstract, web document and related news.
A Scalable Architecture for Spatio-Temporal Range Queries over Big Location Data

Spatio-temporal range queries over Big Location Data aim to extract and analyze relevant data items generated around a given location and time. They require concurrent processing of massive and dynamic data flows. Current solutions for Big Location Data are ill-suited for continuous spatio-temporal processing because (i) most of them follow a batch processing model and (ii) they rely on spatial indexing structures maintained on a central master server. In this paper, we propose a scalable architecture for continuous spatio-temporal range queries built by coalescing multiple computing nodes on top of a Distributed Hash Table. The key component of our architecture is a distributed spatio-temporal indexing structure which exhibits low insertion and low index maintenance costs. We assess our solution with a public data set released by Yahoo! which comprises millions of geotagged multimedia files.
A New Approach for Automatic Thesaurus Construction and Query Expansion for Document Retrieval

In this paper, we present a new approach for automatic thesaurus construction and query expansion for document retrieval. We analyze the information between any two terms in each document cluster center of final document clusters or intermediate document clusters in the clustering process to automatically construct the thesaurus, where these information includes the co-occurrence frequency of any two terms in each document cluster center, the degree of effect of each term in each document cluster center and the inner noise of each document cluster, respectively. We also present a query expansion method to expand the user's queries and present a new method to calculate the degree of similarity between the user's query and documents. The proposed thesaurus construction method and the proposed query expansion method can improve the performance of information retrieval systems for dealing with document retrieval.
Interaction between Common Breast Cancer Susceptibility Variants, Genetic Ancestry, and Nongenetic Risk Factors in Hispanic Women

Background: Most genetic variants associated with breast cancer risk have been discovered in women of European ancestry, and only a few genome-wide association studies (GWAS) have been conducted in minority groups. This research disparity persists in post-GWAS gene–environment interaction analyses. We tested the interaction between hormonal and lifestyle risk factors for breast cancer, and ten GWAS-identified SNPs among 2,107 Hispanic women with breast cancer and 2,587 unaffected controls, to gain insight into a previously reported gene by ancestry interaction in this population. Methods: We estimated genetic ancestry with a set of 104 ancestry-informative markers selected to discriminate between Indigenous American and European ancestry. We used logistic regression models to evaluate main effects and interactions. Results: We found that the rs13387042–2q35(G/A) SNP was associated with breast cancer risk only among postmenopausal women who never used hormone therapy [per A allele OR: 0.94 (95% confidence intervals, 0.74–1.20), 1.20 (0.94–1.53), and 1.49 (1.28–1.75) for current, former, and never hormone therapy users, respectively, Pinteraction 0.002] and premenopausal women who breastfed >12 months [OR: 1.01 (0.72–1.42), 1.19 (0.98–1.45), and 1.69 (1.26–2.26) for never, <12 months, and >12 months breastfeeding, respectively, Pinteraction 0.014]. Conclusions: The correlation between genetic ancestry, hormone replacement therapy use, and breastfeeding behavior partially explained a previously reported interaction between a breast cancer risk variant and genetic ancestry in Hispanic women. Impact: These results highlight the importance of understanding the interplay between genetic ancestry, genetics, and nongenetic risk factors and their contribution to breast cancer risk. Cancer Epidemiol Biomarkers Prev; 24(11); 1731–8. ©2015 AACR.
Natural Hazards and Earth System Sciences Multi-rogue waves solutions to the focusing NLS equation and the KPI equation

We construct a multi-parametric family of quasi-rational solutions to the focusing NLS equation, presenting a profile of multiple rogue waves. These solutions have also been used by us to construct a large family of smooth, real localized rational solutions of the KP-I equation quite different from the multi-lumps solutions first constructed inBordag et al.(1977). The physical relevance of both equations is very large. From the point of view of geosciences,the focusing NLS equation is relevant to the description of surface waves in deep water, and the KP-I equation occurs in the description of capillary gravitational waves on a liquid surface, but also when one considers magneto-acoustic waves in plasma ( Zhdanov, 1984) etc. In addition, there are plenty of equations of physical importance, having their origin in fiber optics, hydrodynamics, plasma physics and many other areas, which are gauge equivalent to the NLS equation or to the KP-I equation. Therefore our results can be easily extended to a large number of systems of physical interest to be discussed in separate publications.
Endothelial nitric oxide synthase polymorphisms and susceptibility to high-tension primary open-angle glaucoma in an Egyptian cohort

Purpose To analyze the association of polymorphisms of the endothelial nitric oxide synthase (NOS3) gene and nitric oxide (NO) levels with high-tension primary open-angle glaucoma (POAG) in an Egyptian population. Methods This case-control study included 160 patients who had high-tension POAG (76 men and 84 women; age range 41–75 years) and 110 controls (56 men and 54 women; age range 55–78 years). Genotyping of T-786C (rs2070744), Glu298Asp (rs1799983), and the 27-bp insertional variable number tandem repeat (VNTR) in intron 4 of the NOS3 gene was performed with an amplification refractory mutation system PCR assay. The NO level was determined by measuring the total nitrate/nitrite (NOX) plasma level. Results The CC genotype of the T-786C polymorphism was significantly associated with POAG (odds ratio [OR] = 2.54, 95% confidence interval [CI] = 1.26–5.13, p = 0.007). The C allele was significantly associated with POAG (OR = 1.86, 95% CI = 1.29–2.69, p<0.001). After stratification by sex, the CC genotype and the C allele were significantly associated with POAG in women only (OR = 3.06, 95% CI = 1.07–8.74, p = 0.03 for the CC genotype, and OR = 2.09, 95% CI = 1.24–3.53, p = 0.005 for the C allele). The genotype and allele frequencies of Glu298Asp and intron 4 were not significant between the patients with POAG and the controls, and after stratification by sex. The mean NOX plasma level was significantly lower in patients with POAG than in the controls (p = 0.01) and low in the (TC+CC) genotype compared to the TT genotype of T-786C in the patients and controls (p<0.001). Conclusions The results suggest that the CC genotype of T-786C NOS3 may be associated with an increased risk of developing high-tension POAG in Egyptians, particularly women. In addition, decreased NO levels may play a role in the development of POAG.
Universal abelian covers of rational surface singularities and multi-index filtrations

In previous papers, there were computed the Poincare series of some (multi-index) filtrations on the ring of germs of functions on a rational surface singularity. These Poincare series were written as the integer parts of certain fractional power series, an interpretation of whom was not given. Here we show that, up to a simple change of variables, these fractional power series are specializations of the equivariant Poincare series for filtrations on the ring of germs of functions on the universal abelian cover of the surface singularity. We compute these equivariant Poincare series.
Target-locking Acquisition with Real-time Confocal (tarc) Microscopy

We present a real-time target-locking confocal microscope that follows an object moving along an arbitrary path, even as it simultaneously changes its shape, size and orientation. This Target-locking Acquisition with Realtime Confocal (TARC) microscopy system integrates fast image processing and rapid image acquisition using a Nipkow spinning-disk confocal microscope. The system acquires a 3D stack of images, performs a full structural analysis to locate a feature of interest, moves the sample in response, and then collects the next 3D image stack. In this way, data collection is dynamically adjusted to keep a moving object centered in the field of view. We demonstrate the system's capabilities by target-locking freely-diffusing clusters of attractive colloidal particles, and actively-transported quantum dots (QDs) endocytosed into live cells free to move in three dimensions, for several hours. During this time, both the colloidal clusters and live cells move distances several times the length of the imaging volume.tative four-dimensional tracking of cytoplasmic and nuclear HIV-1 complexes, " Nat. Three dimensional single-particle tracking with nanometer resolution, " Rev. Automatic real-time three-dimensional cell tracking by fluorescence microscopy, " J. Mi-Confocal three dimensional tracking of a single nanoparticle with concurrent spectroscopic readouts, " Appl. Comparison of the axial resolution of practical Nipkow-disk confocal fluorescence microscopy with that of multifocal multiphoton microscopy: theory and experiment, " J. Microsc. Performance comparison between the high-speed Yokogawa spinning disc confocal system and single-point scanning confocal systems, " J.
Canonical Polyadic decomposition of complex-valued multi-way arrays based on Simultaneous Schur Decomposition

In this paper, we propose a new semi-algebraic algorithm to compute the Canonical Polyadic (CP) decomposition of complex-valued multi-way arrays. The proposed algorithm is based on the Simultaneous Schur Decomposition (SSD) of particular matrices derived from the array to process. This CP algorithm solves some convergence problems of classical iterative techniques and its identifiability assumptions are less restrictive than those of other semi-algebraic methods. We also propose a new Jacobi-like algorithm to calculate the SSD of several complex-valued matrices. Finally the usefulness of the proposed method is illustrated in the context of fluorescence spectroscopy and epileptic source localization.
A study on tagging filter based on allpass filter for blind MIMO equalization

A blind equalization system using on a pre-filter is proposed for blindly separating constant modulus sources in multiple-input multiple-output (MIMO) wireless communication systems? in this paper. With the proposed technique, each modulated signal is pre-filtering based on an allpass filter (Transmit Tagging Filter: TT-Filter). At the receiver, a desired signal is generated by filtering with an inverse filter of the TT-filter, and blindly separating a constant modulus signal from non-constant modulus signals and to retrieve desired signals without any permutation of the originally transmitted signals. In addition, the proposed tagging system transforms a blind MIMO problem into a blind single-input multiple-output (SIMO) problem.
Missed Architectural Dependencies: The Elephant in the Room

Research in code and architectural analysis has demonstrated that a clear understanding of structural dependencies among software elements helps developers comprehend the impact of change. Yet examples are abundant from industry of major issues due to missed dependencies associated with different views of the architecture. Key concerns include dependencies related to allocation of modules to implementation packages to improve safety-critical testing and allocation of implementation packages to hardware partitions to optimize performance. In this paper, we present an in-depth study of a safety-critical system that underwent major changes as a result of missed architectural dependencies. We describe the challenges that resulted in re-architecting the system, the techniques we used for intervention, our results, and the developers' perspective. While the engineering tools provided coverage of design concerns, they missed implications of end-to-end integration testing, latency, and cost of change. In our study, we observed that the tools led the engineers to focus on data and control flow and therefore to miss many data-entity relationships, resource behavior, and deployment-related dependencies. Research continues to focus on more tooling and automation to assist with dependency analysis rather than interim, easier-to-adopt solutions. Our findings demonstrate that providing developers with a lightweight, semantically well-defined description of dependencies enables them to reason about change impact and propagation implications that they might otherwise overlook.
A Two-View Concept Correlation Based Video Annotation Refinement

Recently, concept correlation defining the relationship between concepts has been playing an important role in video annotation (or concept detection). To improve the annotation performance, this paper presents a two-view concept correlation based video annotation refinement, using data-specific spatial and temporal concept correlations. Specifically, instead of generic concept correlation within shots, the spatial view estimates a data-specific concept correlation for each shot, via introducing concept correlation bases to map low-level features to high-level concept distribution under the framework of sparse representation. On the other hand, beyond the temporal consistency of one concept, a richer temporal correlation between different concepts respectively locating in the current shot and its neighbors is utilized to adjust the detection scores. In the end, these two types of concept correlations are integrated into a probability calculation based framework to refine the initial results derived from multiple concept detectors. And the experiments conducted on TRECVID 2006-2008 datasets and comparison with existing works demonstrate its effectiveness.
Generating Search Knowledge in a Class of Games

We present the Introspect system that generates search knowledge for different games. It writes selective and efficient search programs given a logic description of a game. It can be applied to the class of games where the winning state is simply defined. We explain how the system works using the game of capturing strings in the game of Go. We begin with a description of the different kinds of metaknowledge used in Introspect. Then we analyze the consequences of different choices that can be made when designing the domain theory. Finally, we give experimental results using different limits on the amount of search and the amount of generated knowledge. 1 Laboratoire d'Intelligence Artificielle, Departement Informatique, Universite Paris 8, 2 rue de la Liberte, 93526 Saint Denis, France.cazenave@ai.univ-paris8.fr Generating Search Knowledge in a Class of Games Abstract. We present the Introspect system that generates search knowledge We present the Introspect system that generates search knowledge for different games. It writes selective and efficient search programs given a logic description of a game. It can be applied to the class of games where the winning state is simply defined. We explain how the system works using the game of capturing strings in the game of Go. We begin with a description of the different kinds of metaknowledge used in Introspect. Then we analyze the consequences of different choices that can be made when designing the domain theory. Finally, we give experimental results using different limits on the amount of search and the amount of generated knowledge.
A FEASIBILITY STUDY ON USING ViSP’S 3D MODEL-BASED TRACKER FOR UAV POSE ESTIMATION IN OUTDOOR ENVIRONMENTS

This paper presents a novel application of the Visual Servoing Platform’s (ViSP) for small UAV pose estimation in outdoor environments. Given an initial approximation for the camera position and orientation, or camera pose, ViSP automatically establishes and continuously tracks corresponding features between an image sequence and a 3D wireframe model of the environment. As ViSP has been demonstrated to perform well in small and cluttered indoor environments, this paper explores the application of ViSP for UAV mapping of outdoor landscapes and tracking of large objects (i.e. building models). Our presented experiments demonstrate the data obtainable by the UAV, assess ViSP’s data processing strategies, and evaluate the performance of the tracker.
A Dual-Layer Chicxulub Ejecta Sequence with Shocked Carbonates from the Cretaceous-Tertiary (K/T) Boundary, ODP Leg 207, Western Atlantic

Introduction: An up to 2-cm thick Chicxulub ejecta deposit marking the Cretaceous-Tertiary (K/T) boundary (Fig. 1) was recovered in 6 holes drilled during ODP Leg 207 (Demerara Rise, tropical western Atlantic [1-3]). High-resolution mineralogical, petrological, and elemental data reveal a distinct microstratigraphy and a range of ejecta components. Prominent features are the uniformity of this deposit over an area of 30 km2, the absence of bioturbation, allowing documentation of the original sedimentary sequence, and the presence of calcite and dolomite clasts next to shocked tectosilicates in the topmost millimeters. These carbonate clasts show in part exotic features obviously related to the Chicxulub impact event.
ROBUST OPTIMIZATION OF MULTI-PERIOD PRODUCTION PLANNING UNDER DEMAND UNCERTAINTY

Real-world production planning problems are modeled as inventory control problems over a finite horizon. Here we address a multi-period production planning under demand uncertainty which is only known to drift around a nominal demand trajectory. We employ the robust optimization (RO) methodology, and compare our solutions to those obtained employing alternative methods. The results show that the dynamic version of the RO method yields on one hand a guaranteed lower bound on the optimal profit, but on the other hand provides better average profit than the non-robust methods.