Miracle-dz/UniFAR-FTUs huggingface dataset:
On the cohomology ring of the moduli space of Higgs bundles II: Relations in rank 2

This is a continuation of Part I of the paper of the same name. The Higgs bundles in question are pairs consisting of a holomorphic vector bundle E on a complex projective curve C , together with a section of End E ⊗ K(np), where p ∈ C is a distinguished point, K is the canonical bundle, and n ≥ 0. Part I gave a complete set of generators for the rational cohomology ring of the moduli space H n of such objects. Part II now turns to the problem of finding the relations between these generators. Even though this is a natural companion to the generation problem, the ideas and methods with which it is studied have quite a different flavor. In particular, there is much more explicit calculation. We restrict our attention to rank 2. In that case, the number of generators is manageable: 4. We are then able to give a complete solution to the problem. For arbitrary rank, this seems out of reach at the moment. At any rate, it has not even been done for the compact moduli space N of stable bundles which lies inside H n. Now in rank 2 the relations in the cohomology ring of N have been calculated by several authors [4, 15, 23, 31], and of course our ideal of relations must contain theirs. However, the answer to our problem is actually more explicit in that the relations are given by a simple closed formula, rather than by a recursion in the genus g. Yet in another sense our answer is more complicated. Although our relations are completely explicit, there are very many of them, and there is no escaping this. The so-called " invariant part " of H * (N), for example, requires only 3 relations to generate all the others multiplicatively, while the corresponding number for H * (H n) grows quadratically in g. Within this large crowd, some old friends stand out. For example, β g , conjectured by Newstead [21] to be a relation on N in 1972 and shown to be one much later [17, 27], remains a relation on H 0 , though not on all of the H n. Another familiar part of the story is a proposition proved in §10, stating that, if ρ is a relation on H 0 at genus g − 1, then ψ j ψ j+g ρ …
Semi-automatic 2D to 3D image conversion using a hybrid Random Walks and graph cuts based approach

In this paper, we present a semi-automated method for converting conventional 2D images to stereoscopic 3D. User-defined strokes that correspond to a rough estimate of the depth values in the scene are defined for the image of interest. With these strokes, our system thus determines what the depth values are for the rest of the image, producing a depth map that is ultimately used to create a stereoscopic image pair. Our work is based on a similar scheme which employs Random Walks. However, the related work is quite complex, with many processing steps required to produce the final stereoscopic image pair. Combined with the evident shortcomings of the related work, but noting the merits of Random Walks, we propose a system that is a hybrid between Random Walks, and the popular Graph Cuts segmentation paradigm. Both segmentation algorithms are used to generate a final cohesive depth map, thus combining the merits of both frameworks together. The generated results show that we can produce good quality stereoscopic image pairs, while using a much more simplified method in comparison to the related Random Walks scheme.
Minimal approach to neuro-inspired information processing

To learn and mimic how the brain processes information has been a major research challenge for decades. Despite the efforts, little is known on how we encode, maintain and retrieve information. One of the hypothesis assumes that transient states are generated in our intricate network of neurons when the brain is stimulated by a sensory input. Based on this idea, powerful computational schemes have been developed. These schemes, known as machine-learning techniques, include artificial neural networks, support vector machine and reservoir computing, among others. In this paper, we concentrate on the reservoir computing (RC) technique using delay-coupled systems. Unlike traditional RC, where the information is processed in large recurrent networks of interconnected artificial neurons, we choose a minimal design, implemented via a simple nonlinear dynamical system subject to a self-feedback loop with delay. This design is not intended to represent an actual brain circuit, but aims at finding the minimum ingredients that allow developing an efficient information processor. This simple scheme not only allows us to address fundamental questions but also permits simple hardware implementations. By reducing the neuro-inspired reservoir computing approach to its bare essentials, we find that nonlinear transient responses of the simple dynamical system enable the processing of information with excellent performance and at unprecedented speed. We specifically explore different hardware implementations and, by that, we learn about the role of nonlinearity, noise, system responses, connectivity structure, and the quality of projection onto the required high-dimensional state space. Besides the relevance for the understanding of basic mechanisms, this scheme opens direct technological opportunities that could not be addressed with previous approaches.
[Association of chronic pain with the use of health care services by older adults in Sao Paulo].

OBJECTIVE Evaluate the association between use of health care services by older adults with chronic pain and sociodemographic and health variables. METHODS Cross-sectional study whose population sample of 1,271 older adults with chronic pain and with no cognitive deficit was obtained through home surveys in Sao Paulo, SP, Southeastern Brazil,, in 2006. The study considered pain lasting for six or more months as chronic. The criterion for health care service use was more than four doctor appointments or having been admitted to a hospital during the past year. For those in chronic pain for at least one year, the existence of an association between the use of health care services and independent variables (pain and socio-demographical characteristics and self-reported morbidities) was tested using univariate (RaoScott test of association) and multivariate analysis (Cox Multiple Regression with robust variance). Stata 11.0 was used for the statistical analysis, and the significance level adopted was p < 0.05. RESULTS The prevalence of health care service use among older people with pain was 48,0% (95%CI 35.1;52.8) and did not differ from older adults without chronic pain (50.5%, 95%CI 45.1;55.9). The multivariate analysis showed that the chance of using health care services was 33,0% lower for older adults with pain for more than two years than those with pain between one and two years (p = 0.002). The chance was 55,0% higher for those with intense pain (p = 0.003) and 45,0% higher for those with moderate pain interference in the work (p = 0.015). CONCLUSIONS Chronic pain was found to be common and was associated with negative effects on independence and mobility. More intense and recent chronic pain that affected work resulted in greater use of health care services.
Labeling of Textured Data with Co-training and Active Learning

In this paper, we present a robust texture labeling method that requires minimum user interaction. Initially only a fraction of the textures needs to be manually labeled, and then a co-training procedure is used to automatically label most of the unlabeled samples. Simultanously an active learning framework is used to learn those unlabeled samples that would provide much information for the system if labeled. Samples found by active learning are labeled explicitly with a visualization-based approach which provides a very user-friendly view into the data and enables possibility to learn new classes. In the experiments, the labeling framework is applied to real texture image data for building a training set for a classifier.
Towards Values-inspired Design: The Case of Citizen-Centric Services

We argue for and propose a design-way for Values-inspired Design. The context in which we develop our argument is Citizen-centric services in mega-cities. The work draws on and extends prior efforts related to values, value-conscious design and value-sensitive design. Our efforts are motivated by the significant trends towards mega-cities, and an acknowledgment of the need to translate policy-level decisions to citizen-centric services. The efforts we describe, therefore, demonstrate how values can inspire design principles and in turn, dictate specific design features. We use scenario-based design and rely on commonly accepted UML diagrams to operationalize our argument. The outcome, which we call a design-way provides a mapping across artifacts-principles-values that can act as a sensitizing device to facilitate Values-inspired Design.
Identifying Opinion Holders in Opinion Text from Online Newspapers

We propose an anaphor resolution based opinion holder identification method exploiting lexical and syntactic information. We tested our approach on online news documents and obtained 72.22% and 69.89% in accuracy for the task of non-anaphoric opinion holder resolution and the task of anaphoric opinion holder identification, respectively.
Ankylosing Spondylitis: From Cells to Genes

Ankylosing spondylitis (AS) is a chronic inflammatory disease of unknown etiology, though it is considered an autoimmune disease. HLA-B27 is the risk factor most often associated with AS, and although the mechanism of involvement is unclear, the subtypes and other features of the relationship between HLA-B27 and AS have been studied for years. Additionally, the key role of IL-17 and Th17 cells in autoimmunity and inflammation suggests that the latter and the cytokines involved in their generation could play a role in the pathogenesis of this disease. Recent studies have described the sources of IL-17 and IL-23, as well as the characterization of Th17 cells in autoimmune diseases. Other cells, such as NK and regulatory T cells, have been implicated in autoimmunity and have been evaluated to ascertain their possible role in AS. Moreover, several polymorphisms, mutations and deletions in the regulatory proteins, protein-coding regions, and promoter regions of different genes involved in immune responses have been discovered and evaluated for possible genetic linkages to AS. In this review, we analyze the features of HLA-B27 and the suggested mechanisms of its involvement in AS while also focusing on the characterization of the immune response and the identification of genes associated with AS.
Tikhonov-Miller regularization with a denoisy and deconvolved signal as model of solution for improvement of depth resolution in SIMS analysis

In this paper the improvement by deconvolution of the depth resolution in Secondary Ion Masse Spectrometry (SIMS) analysis is studied. Indeed, a new Tikhonov-Miller deconvolution method, where a priori model of solution is included. The latter is a denoisy and pre-deconvolved signal obtained firstly by the application of wavelet shrinkage algorithm and after, by the introduction of the obtained denoisy signal in an iterative deconvolution algorithm. The results of the proposed algorithm are compared to those of Tikhonov-Miller regularization where the model of solution is a raw signal. Finally, based on the obtained results the advantages and limitations of the proposed method as well as suggestions for future work are presented and discussed.
Dług publiczny a cykliczność polityki fiskalnej

The aim of this paper is to test whether high public debt affects the cyclicality of fiscal policy, which is defined as the response of fiscal policy to short-run GDP fluctuations. Cyclicality of fiscal policy has important macroeconomic consequences, affecting not only the short run developments, but also long term economic growth. At the same time, references indicating the existence of a relationship between the size of the public debt and the cyclicality of fiscal policy can be found in the literature, but there is no study which investigates this relationship in a systematic way. This paper tries to fill this gap. It provides evidence that public debt affects the shape of fiscal policy, increasing its pro-cyclicality or weakening the strength of its anti-cyclic reaction.
Effects of Na / Ca 2 exchange induced by SR Ca 2 release on action potentials and afterdepolarizations in guinea pig ventricular myocytes

Spencer, C. Ian, and James S. K. Sham. Effects of Na /Ca2 exchange induced by SR Ca2 release on action potentials and afterdepolarizations in guinea pig ventricular myocytes. Am J Physiol Heart Circ Physiol 285: H2552–H2562, 2003. First published August 21, 2003; 10.1152/ajpheart. 00274.2003. —In cardiac cells, evoked Ca2 releases or spontaneous Ca2 waves activate the inward Na /Ca2 exchange current (INaCa), which may modulate membrane excitability and arrhythmogenesis. In this study, we examined changes in membrane potential due to INaCa elicited by sarcoplasmic reticulum (SR) Ca2 release in guinea pig ventricular myocytes using whole cell current clamp, fluorescence, and confocal microscopy. Inhibition of INaCa by Na -free, Li -containing Tyrode solution reversibly abbreviated the action potential duration at 90% repolarization (APD90) by 50% and caused SR Ca2 overload. APD90 was similarly abbreviated in myocytes exposed to the Na /Ca2 exchange inhibitor KB-R7943 (5 M) or after inhibition of SR Ca2 release with ryanodine (20 M). In the absence of extracellular Na , spontaneous SR Ca2 releases caused minimal changes in resting membrane potential. After the myocytes were returned to Na -containing solution, the potentiated intracellular Ca2 concentration ([Ca2 ]i) transients dramatically prolonged APD90 and [Ca2 ]i oscillations caused delayed and early afterdepolarizations (DADs and EADs). Laser-flash photolysis of caged Ca2 mimicked the effects of spontaneous [Ca2 ]i oscillations, confirming that APD prolongation, DADs, and EADs could be ascribed to intracellular Ca2 release. These results suggest that Na /Ca2 exchange is a major physiological determinant of APD and that INaCa activation by spontaneous SR Ca2 release/oscillations, depending on the timing, can account for both DADs and EADs during SR Ca2 overload.
A millimeter-wave image denoising method based on adaptive sparse representation

In this paper, based on passive millimeter-wave (PMMW) imaging system, we apply a novel image representation theory — the sparse representation to PMMW image denoising procedure. It is proved that PMMW image can have spare representation based on overcomplete dictionary, and the sparsity of image plays a remarkable role in our denoising method. By choosing a reasonable threshold, we use K-SVD algorithm to learn a overcomplete dictionary based on image itself adaptively. Within the application of sparse representation on learned overcomplete dictionary, this method can restore our PMMW image effectively and efficiently. Experiments demonstrate good robustness and practicality both in synthetic PMMW images and actual PMMW images.
Description and application of a rapid method for genomic DNA direct sequencing.

We describe a rapid method for determining nucleotide sequences directly from total genomic DNA. This technique was used to determine genomic DNA sequences in various prokaryotic and eukaryotic microorganisms with a G+C content between 40 and 50%, e.g. Escherichia coli, Vibrio cholerae, Bacillus subtilis and Saccharomyces cerevisiae. Furthermore, the method was applied to accurately sequence up to 300 DNA base pairs in Photorhabdus luminescens, whose genome sequencing is currently under way. Taken together, these results provide evidence that our technique can be widely used to easily and efficiently determine genomic DNA sequences.
Localization of orphanin FQ (nociceptin) peptide and messenger RNA in the central nervous system of the rat

Orphanin FQ (OFQ) is the endogenous agonist of the opioid receptor‐like receptor (ORL‐1). It and its precursor, prepro‐OFQ, exhibit structural features suggestive of the opioid peptides. A cDNA encoding the OFQ precursor sequence in the rat recently has been cloned, and the authors recently generated a polyclonal antibody directed against the OFQ peptide. In the present study, the authors used in situ hybridization and immunohistochemistry to examine the distribution of OFQ peptide and mRNA in the central nervous system of the adult rat. OFQ immunoreactivity and prepro‐OFQ mRNA expression correlated virtually in all brain areas studied. In the forebrain, OFQ peptide and mRNA were prominent in the neocortex endopiriform nucleus, claustrum, lateral septum, ventral forebrain, hypothalamus, mammillary bodies, central and medial nuclei of the amygdala, hippocampal formation, paratenial and reticular nuclei of the thalamus, medial habenula, and zona incerta. No OFQ was observed in the pineal or pituitary glands. In the brainstem, OFQ was prominent in the ventral tegmental area, substantia nigra, nucleus of the posterior commissure, central gray, nucleus of Darkschewitsch, peripeduncular nucleus, interpeduncular nucleus, tegmental nuclei, locus coeruleus, raphe complex, lateral parabrachial nucleus, inferior olivary complex, vestibular nuclear complex, prepositus hypoglossus, solitary nucleus, nucleus ambiguous, caudal spinal trigeminal nucleus, and reticular formation. In the spinal cord, OFQ was observed throughout the dorsal and ventral horns. The wide distribution of this peptide provides support for its role in a multitude of functions, including not only nociception but also motor and balance control, special sensory processing, and various autonomic and physiologic processes. J. Comp. Neurol. 406:503–547, 1999. © 1999 Wiley‐Liss, Inc.
Cooperative Communication: New Trend in Wireless Communication

Transmit diversity generally requires more than one antenna at the transmitter. However, many wireless devices are limited by size or hardware complexity to one antenna. Recently, a new class of methods called cooperative communication has been proposed that enables singleantennamobiles in a multi-user environment to share their antennas and generate a virtual multiple-antenna transmitter that allows them to achieve transmit diversity. This paper gives an overview of cooperative communication which is a technique that acts as virtual MIMO. Inthis paper we analyze cooperative communication in detail. We study the steps to cooperation and differentcombining strategies at the destination.
Attribute reduction in tolerance information systems based on evidence theory

Attribute reduction is one of the most important problems in rough set theory. This paper deals with attribute reduction in tolerance information systems based on Dempster-shafter theory of evidence. The concepts of plausibility consistent set and belief consistent set are introduced in tolerance information systems. Furthermore, relative plausibility reduction and belief reduction are discussed in tolerance systems and it is proved that a plausibility consistent set must be a consistent set. Moreover, it is shown that an attribute set is a belief reduction if and only if it is a classical reduction in tolerance information systems. 2010 AMS Classification: 94D05, 68T37
Detecting Outliers in Data streams usingClustering Algorithms

The data stream is a new arrival of research area in data mining where as data stream refers to the process of extracting knowledge structures from nonstop, fast growing data records. Emerging applications involved in data streams are motivated by many researches involving continuous massive data sets such as customer click streams, ecommerce, wireless sensor network, network monitor, telecommunication system, stock market and meteorological data. For handling this type of large data, the current data mining systems are not sufficient and equipped to deal with them, for this cause it leads to a numerous computational and mining challenges due to shortage of hardware limitations. Nowadays many researchers have focused on mining data streams and they proposed many techniques for data stream classification, data stream clustering and finding frequent items from data streams. Data stream Clustering and outlier detection provides a number of unique challenges in evolving data stream environment. Data stream clustering algorithms are highly used for detecting the outliers efficiently. The main objective of this research work is to perform the clustering process and detecting the outliers in data streams. In this research work, two clustering algorithms namely CURE with K-Means and CURE with CLARANS are used for finding the outliers in data streams. Different sizes and types of data sets and two performance factors such as clustering accuracy and outlier detection accuracy are used for analysis. By analyzing the experimental results, it is observed that the proposed CURE with CLARANS clustering algorithm performance is more accurate than the existing algorithm CURE with K-Means.
Applying the Theory of Successful Intelligence to Psychotherapy Training and Practice

The theory of successful intelligence developed and tested by Robert Sternberg attempts to predict success in life across analytical, creative, and practical dimensions. This article presents the theory of successful intelligence as a useful framework for incorporating various psychotherapy techniques. Application of the theory has effectively trained teachers to enhance important skills in normally functioning children and adolescents, as well as adults in real world settings. Presumably it can be taught to therapists to be applied in a psychotherapy setting. In support of this argument, the article is divided into four sections. First, a definition of the theory of successful intelligence is presented. Second, empirical efforts for construct validation of the theory—both internal and external—are described. Third, the research that has been conducted on each aspect of the theory (analytical, creative, and practical) is discussed along with related constructs from the field of psychotherapy. Fourth, an example of the use of the theory in clinical practice is described, drawn from older case material which actually anticipated the uses of analytical, creative, and practical skill development with a depressed client.
Acute Stroke Care and Thrombolytic Therapy Use in a Tertiary Care Center in Lebanon

Background. Thrombolytic therapy (rt-PA) is approved for ischemic stroke presenting within 4.5 hours of symptoms onset. The rate of utilization of rt-PA is not well described in developing countries. Objectives. Our study examined patient characteristics and outcomes in addition to barriers to rt-PA utilization in a tertiary care center in Beirut, Lebanon. Methods. A retrospective chart review of all adult patients admitted to the emergency department during a one-year period (June 1st, 2009, to June 1st, 2010) with a final discharge diagnosis of ischemic stroke was completed. Descriptive analysis was done followed by a comparison of two groups (IV rt-PA and no IV rt-PA). Results. During the study period, 87 patients met the inclusion criteria and thus were included in the study. The mean age was found to be 71.9 years (SD = 11.8). Most patients arrived by private transport (85.1%). Weakness and loss of speech were the most common presenting signs (56.3%). Thirty-three patients (37.9%) presented within 4.5 hours of symptom onset. Nine patients (10.3%, 95% CI (5.5–18.5)) received rt-PA. The two groups (rt-PA versus non rt-PA) had similar outcomes (mortality, symptomatic intracerebral hemorrhage, modified Rankin scale scores, and residual deficit at hospital discharge). Conclusion. In our setting, rt-PA utilization was higher than expected. Delayed presentation was the main barrier to rt-PA administration. Public education regarding stroke is needed to decrease time from symptoms onset to ED presentation and potentially improve outcomes further.