Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship of Ankle Blood Pressures to Cardiovascular Events in Older Adults

Background and Purpose— Low values of ankle–arm systolic blood pressure ratio predict mortality and cardiovascular events. High values, associated with arterial calcification, also carry risk for mortality. We focus on the extent to which low and high ankle–arm index values as well as noncompressible arteries are associated with mortality and cardiovascular events, including stroke in older adults. Methods— We followed 2886 adults aged 70 to 79 for a mean of 6.7 years for vital status and cardiovascular events (coronary heart disease, stroke, and congestive heart failure). Results— Normal ankle–arm index values of 0.91 to 1.3 were found in 80%, low values of ≤0.9 were found in 13%, high values of >1.3 were obtained in 5%, and noncompressible arteries were found in 2% of the group. Increased mortality was associated with both low and high ankle–arm index values beginning at levels of <1.0 or ≥1.4. Subjects with low ankle–arm index values or noncompressible arteries had significantly higher event rates than those with normal ankle blood pressures for all end points. For coronary heart disease, hazard ratios associated with a low ankle–arm index, high ankle–arm index, and noncompressible arteries were 1.4, 1.5, and 1.7 (P<0.05 for all) after controlling for age, gender, race, prevalent cardiovascular disease, diabetes, and major cardiovascular risk factors. Noncompressible arteries carried a particularly high risk of stroke and congestive heart failure (hazard ratio=2.1 and 2.4, respectively). Conclusions— Among older adults, low and high ankle–arm index values carry elevated risk for cardiovascular events. Noncompressible leg arteries carry elevated risk for stroke and congestive heart failure specifically.
Forecasting Volatility of Gold Price Using Markov Regime Switching and Trading Strategy

In this paper, we forecast the volatility of gold prices using Markov Regime Switching GARCH (MRS-GARCH) models. These models allow volatility to have different dynamics according to unobserved regime variables. The main purpose of this paper is to find out whether MRS-GARCH models are an improvement on the GARCH type models in terms of modeling and forecasting gold price volatility. The MRS-GARCH is best performance model for gold price volatility in some loss function. Moreover, we forecast closing prices of gold price to trade future contract. MRS-GARCH got the most cumulative return same GJR model.
Near-Memory Address Translation

Memory and logic integration on the same chip is becoming increasingly cost effective, creating the opportunity to offload data-intensive functionality to processing units placed inside memory chips. The introduction of memory-side processing units (MPUs) into conventional systems faces virtual memory as the first big showstopper: without efficient hardware support for address translation MPUs have highly limited applicability. Unfortunately, conventional translation mechanisms fall short of providing fast translations as contemporary memories exceed the reach of TLBs, making expensive page walks common.In this paper, we are the first to show that the historically important flexibility to map any virtual page to any page frame is unnecessary in today's servers. We find that while limiting the associativity of the virtual-to-physical mapping incurs no penalty, it can break the translate-then-fetch serialization if combined with careful data placement in the MPU's memory, allowing for translation and data fetch to proceed independently and in parallel. We propose the Distributed Inverted Page Table (DIPTA), a near-memory structure in which the smallest memory partition keeps the translation information for its data share, ensuring that the translation completes together with the data fetch. DIPTA completely eliminates the performance overhead of translation, achieving speedups of up to 3.81x and 2.13x over conventional translation using 4KB and 1GB pages respectively.
Attenuation of Late-Stage Disease in Mice Infected bythe Mycobacterium tuberculosis Mutant Lacking theSigF Alternate Sigma Factor and Identification ofSigF-Dependent Genes by MicroarrayAnalysis

ABSTRACT The Mycobacterium tuberculosis alternate sigma factor, SigF, is expressed during stationary growth phase and under stress conditions in vitro. To better understand the function of SigF we studied the phenotype of the M. tuberculosis ΔsigF mutant in vivo during mouse infection, tested the mutant as a vaccine in rabbits, and evaluated the mutant's microarray expression profile in comparison with the wild type. In mice the growth rates of theΔ sigF mutant and wild-type strains were nearly identical during the first 8 weeks after infection. At 8 weeks, theΔ sigF mutant persisted in the lung, while the wild type continued growing through 20 weeks. Histopathological analysis showed that both wild-type and mutant strains had similar degrees of interstitial and granulomatous inflammation during the first 12 weeks of infection. However, from 12 to 20 weeks the mutant strain showed smaller and fewer lesions and less inflammation in the lungs and spleen. Intradermal vaccination of rabbits with the M. tuberculosis ΔsigF strain, followed by aerosol challenge, resulted in fewer tubercles than did intradermal M. bovis BCG vaccination. Complete genomic microarray analysis revealed that 187 genes were relatively underexpressed in the absence of SigF in early stationary phase, 277 in late stationary phase, and only 38 genes in exponential growth phase. Numerous regulatory genes and those involved in cell envelope synthesis were down-regulated in the absence of SigF; moreover, the ΔsigF mutant strain lacked neutral red staining, suggesting a reduction in the expression of envelope-associated sulfolipids. Examination of 5′-untranslated sequences among the downregulated genes revealed multiple instances of a putative SigF consensus recognition sequence: GGTTTCX18GGGTAT. These results indicate that in the mouse the M. tuberculosis ΔsigF mutant strain persists in the lung but at lower bacterial burdens than wild type and is attenuated by histopathologic assessment. Microarray analysis has identified SigF-dependent genes and a putative SigF consensus recognition site.
The quantifier complexity of polynomial‐size iterated definitions in first‐order logic

We refine the constructions of Ferrante‐Rackoff and Solovay on iterated definitions in first‐order logic and their expressibility with polynomial size formulas. These constructions introduce additional quantifiers; however, we show that these extra quantifiers range over only finite sets and can be eliminated. We prove optimal upper and lower bounds on the quantifier complexity of polynomial size formulas obtained from the iterated definitions. In the quantifier‐free case and in the case of purely existential or universal quantifiers, we show that Ω(n /log n) quantifiers are necessary and sufficient. The last lower bounds are obtained with the aid of the Yao‐Håstad switching lemma (© 2010 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
UvA-DARE (Digital Academic Repository) Dynamic Image Networks for Action Recognition

We introduce the concept of dynamic image , a novel compact representation of videos useful for video analysis especially when convolutional neural networks (CNNs) are used. The dynamic image is based on the rank pooling concept and is obtained through the parameters of a ranking machine that encodes the temporal evolution of the frames of the video. Dynamic images are obtained by directly applying rank pooling on the raw image pixels of a video producing a single RGB image per video. This idea is simple but powerful as it enables the use of existing CNN models directly on video data with ﬁne-tuning. We present an efﬁcient and effective approximate rank pooling operator, speeding it up orders of magnitude compared to rank pooling. Our new approximate rank pooling CNN layer allows us to generalize dynamic images to dynamic feature maps and we demonstrate the power of our new representations on standard benchmarks in action recognition achiev-ing state-of-the-art performance.
Tracking non-rigid objects in complex scenes

The authors describe a model-based method for tracking nonrigid objects moving in a complex scene. The method operates by extracting two-dimensional models of an object from a sequence of images. The basic idea underlying the technique is to decompose the image of a solid object moving in space into two components: a two-dimensional motion and a two-dimensional shape change. The motion component is factored out and the shape change is represented explicitly by a sequence of two-dimensional models, one corresponding to each image frame. The major assumption underlying the method is that the two-dimensional shape of an object will change slowly from one frame to the next. There is no assumption, however, that the two-dimensional image motion between successive frames will be small. <<ETX>>
On the transition from boundary lubrication to hydrodynamic lubrication in soft contacts

We consider the contact between elastically soft solids with randomly rough surfaces in sliding contact in a fluid, which is assumed to be Newtonian with constant (pressure-independent) viscosity. We discuss the nature of the transition from boundary lubrication at low sliding velocity, where direct solid–solid contact occurs, to hydrodynamic lubrication at high sliding velocity, where the solids are separated by a thin fluid film. We consider both hydrophilic and hydrophobic systems, and cylinder-on-flat and sphere-on-flat sliding configurations. We show that, for elastically soft solids such as rubber, including cavitation or not results in nearly the same friction.
Pixels to Voxels: Modeling Visual Representation in the Human Brain

The human brain is adept at solving difficult high-level visual processing problems such as image interpretation and object recognition in natural scenes. Over the past few years neuroscientists have made remarkable progress in understanding how the human brain represents categories of objects and actions in natural scenes. However, all current models of high-level human vision operate on hand annotated images in which the objects and actions have been assigned semantic tags by a human operator. No current models can account for high-level visual function directly in terms of low-level visual input (i.e., pixels). To overcome this fundamental limitation we sought to develop a new class of models that can predict human brain activity directly from low-level visual input (i.e., pixels). We explored two classes of models drawn from computer vision and machine learning. The first class of models was based on Fisher Vectors (FV) and the second was based on Convolutional Neural Networks (ConvNets). We find that both classes of models accurately predict brain activity in high-level visual areas, directly from pixels and without the need for any semantic tags or hand annotation of images. This is the first time that such a mapping has been obtained. The fit models provide a new platform for exploring the functional principles of human vision, and they show that modern methods of computer vision and machine learning provide important tools for characterizing brain function.
In vitro evaluation of opsonic and cellular granulocyte function by luminol-dependent chemiluminescence: utility in patients with severe neutropenia and cellular deficiency states

Actively phagocytizing polymorphonuclear leukocytes (PMN) emit light or chemiluminescence (CL) which has been shown to be linked to the oxidative activity of the PMN. The measurement of CL has been demonstrated to be a useful tool for the in vitro assessment of intracellular and opsonophagocytic function of PMN. We have increased the sensitivity of the CL measurement by the addition of luminol to the in vitro reaction of PMN, bacteria, and serum. The presence of luminol, which can be oxidized to emit light, amplifies the detection of CL and PMN cellular activity. This amplification effectively reduces the number of PMN that are necessary for assessment of PMN function from 1 x 10(7) to as low as 2 x 10(4) PMN/assay and permits the evaluation of PMN function in severely neutropenic patients (100 PMN/mm3) in whom cellular PMN function has been heretofore extremely difficult to assess by other methodology. When this luminol-dependent CL method was used, three of eight neutropenic leukemic patients with gram-negative septicemia were found to have deficient opsonic activity and/or increased or depressed cellular oxidative activity. Because the initial slope of CL is dependent on the amount of serum and heat-labile factors, this method can also be used effectively as a simple technique for the analysis of specific rates of opsonophagocytosis of various microorganisms. Additionally, this method can detect the cellular PMN abnormalities of chronic granulomatous disease and myeloperoxidase deficiency. The luminol-dependent CL method is a simple, sensitive, reproducible technique that provides useful information about PMN metabolic activity, particularly in studies in which the number of PMN is limited.
Parasites affect song complexity and neural development in a songbird

There is now considerable evidence that female choice drives the evolution of song complexity in many songbird species. However, the underlying basis for such choice remains controversial. The developmental stress hypothesis suggests that early developmental conditions can mediate adult song complexity by perturbing investment in the underlying brain nuclei during their initial growth. Here, we show that adult male canaries (Serinus canaria), infected with malaria (Plasmodium relictum) as juveniles, develop simpler songs as adults compared to uninfected individuals, and exhibit reduced development of the high vocal centre (HVC) song nucleus in the brain. Our results show how developmental stress not only affects the expression of a sexually selected male trait, but also the structure of the underlying song control pathway in the brain, providing a direct link between brain and behaviour. This novel experimental evidence tests both proximate and ultimate reasons for the evolution of complex songs and supports the Hamilton–Zuk hypothesis of parasite-mediated sexual selection. Together, these results propose how developmental costs may help to explain the evolution of honest advertising in the complex songs of birds.
Effects of cochlear ablation on muscarinic acetylcholine receptor binding in the rat cochlear nucleus

Cholinergic synapses in the cochlear nucleus (CN) have been reported to modulate spontaneous activity via muscarinic acetylcholine receptors. In this study, muscarinic receptor binding was measured as specific binding of 1‐[N‐methyl‐3H]scopolamine in CN regions of control rats and 7 days, 1 month, and 2 months after unilateral cochlear ablation. In control rats, the strongest binding was found in granular regions, followed in order by fusiform soma, molecular, and deep layers of the dorsal cochlear nucleus (DCN), with much lower binding in the anteroventral CN (AVCN) and posteroventral CN (PVCN). After unilateral cochlear ablation, binding in the AVCN, PVCN, and their associated granular regions on the lesion side became progressively greater than on the control side through 2 months after lesion. A significant asymmetry, with binding higher on the lesion side, was also found in the DCN fusiform soma layer at 7 days, and there and in the DCN deep layer at 1 and 2 months after lesion. There was also evidence of increased binding on the control side in most CN regions. By contrast, binding in the ipsilateral facial nucleus decreased, compared with the control side, by 7 days after the lesion and showed some recovery toward symmetry by 2 months after lesion, and there was no evidence for contralateral changes. These muscarinic receptor binding changes reflect receptor plasticity after loss of auditory nerve innervation. Such plasticity may underlie some of the central auditory functional changes that occur following peripheral lesions, such as tinnitus and hyperacusis. © 2005 Wiley‐Liss, Inc.
Expurgated Bounds for the Asymmetric Broadcast Channel

This paper contains two main contributions concerning the expurgation of hierarchical ensembles for the asymmetric broadcast channel. The first is an analysis of the optimal maximum likelihood (ML) decoders for the weak and strong user. Two different methods of code expurgation will be used, that will provide two competing error exponents. The second is the derivation of expurgated exponents under the generalized stochastic likelihood decoder (GLD). We prove that the expurgated exponents achieved for the hierarchical ensemble under GLD decoding are at least as good as the maximum between the random coding error exponents derived in an earlier work by Averbuch and Merhav (2018) and one of our ML–based expurgated exponents.
Neuronal substrates for choice under ambiguity, risk, gains, and losses

Economic forces shape the behavior of individuals and institutions. Forces affecting individual behavior are attitudes about payoffs (gains and losses) and beliefs about outcomes (risk and ambiguity). Under risk, the likelihoods of alternative outcomes are fully known. Under ambiguity, these likelihoods are unknown. In our experiment, payoffs and outcomes were manipulated independently during a classical choice task as brain activity was measured with positron emission tomography (PET). Here, we show that attitudes about payoffs and beliefs about the likelihood of outcomes exhibit interaction effects both behaviorally and neurally. Participants are risk averse in gains and risk-seeking in losses; they are ambiguity-seeking in neither gains nor losses. Two neural substrates for choice surfaced in the interaction between attitudes and beliefs: a dorsomedial neocortical system and a ventromedial system. This finding reveals that the brain does not honor a prevalent assumption of economics--the independence of the evaluations of payoffs and outcomes. The demonstration of a relationship between brain activity and observed economic choice attests to the feasibility of a neuroeconomic decision science.
The Impact of Parenteral Narcotic Choice in the Development of Acute Chest Syndrome in Sickle Cell Disease

Background Acute chest syndrome (ACS) represents a serious morbidity and often fatal complication in patients with sickle cell disease. Painful episodes which require hospitalization are most often treated with opioids, which may then influence the development of ACS. Nalbuphine is a parenteral opioid which effectively treats pain and may cause less ACS. Procedure This retrospective chart review documented 988 admissions for painful episodes at 2 institutions and recorded the incidence of ACS and opioid used. Results At the Children's Hospital in St Louis, Missouri, the incidence of ACS in patients treated with morphine alone was 10.8% versus at the Children's Mercy Hospital in Kansas City, Missouri, the incidence was 2.1% for patients treated solely with nalbuphine. Conclusions When nalbuphine is used alone as the single parenteral opioid agent to treat painful episodes in patients with sickle cell disease, the incidence of ACS is less than when compared with other opioids used to treat pain.
Utility of QuantiFERON-TB Gold in-tube testing for latent TB infection in HIV-infected individuals.

SETTING Urban inner city human immunodeficiency virus (HIV) clinic. OBJECTIVE To evaluate tuberculin skin testing (TST) and QuantiFERON-TB Gold (QFT-G) testing in an HIV-infected population relative to the presence of risk factors for latent tuberculosis infection (LTBI). DESIGN Cross-sectional analysis of the response of a whole blood gamma interferon release assay to early secreted antigenic target 6 (ESAT-6) and culture filtrate protein 10 (CFP-10) antigens and TST relative to known risk factors for LTBI. RESULTS Of 207 subjects enrolled, four were excluded due to missing data and three specimens yielded discordant results. Ten specimens were indeterminate due to inadequate response to mitogen. All indeterminate results occurred in subjects with CD(4) counts <200 cells/mm(3). Eleven QFT-G results and 13 TST results were positive. The concordance between TST and QFT-G was poor (kappa 0.38). QFT-G results were more likely than TST to be associated with risk factors for LTBI. CONCLUSIONS QFT-G, but not TST, showed a statistically significant association between the number of risk factors for LTBI and a positive result (OR 1.6). QFT-G testing may be more useful than TST in individuals with HIV infection.
What influences Hb fetal production in adulthood?

Human hemoglobin genes are located in α and β globin gene clusters in chromosomes 16 and 11, respectively. Different types of hemoglobin are synthesized according to the stage of development with fetal hemoglobin (α2γ2) (Hb F) being the main hemoglobin in the fetal period. After birth, there is a reduction (to about 1%) in Hb F levels and adult hemoglobin, Hb A (2α2β2), increases to more than 96% of total hemoglobin. However, some genetic conditions whether linked to the β-globin gene cluster or not are associated with high Hb F levels in adults. Among those linked to β-globin are hereditary persistence of fetal hemoglobin, delta-beta thalassemia (δβ-Thalassemia) and the XmnI polymorphism (-158 C = T). Other polymorphisms not related to β-globin gene cluster are known to influence the γ-globin gene expression in adulthood. The most relevant polymorphisms that increase concentrations of Hb F are the HMIP locus on chromosome 6, the BCL11A locus on chromosome 2, the Xp22.2 region of the X chromosome and the 8q region on chromosome 8. Findings from our research group studying genetic factors involved in γ-globin gene regulation in adults without anemia in the northwestern region of São Paulo State showed that high Hb F levels are influenced by the presence of hereditary persistence of fetal hemoglobin mutations and the XmnI polymorphism, suggesting that both genetic alterations characterize the molecular basis of the evaluated population.
The Economic and Statistical Significance of Stock Returns on Customer Satisfaction

A to Jacobson and Mizik [Jacobson, R. , N. Mizik. 2009. The financial markets and customer satisfaction: Reexamining possible financial market mispricing of customer satisfaction. Marketing Sci. 28(5) 810–819], excess stock portfolio returns for firms with strong customer satisfaction are small and statistically insignificant, and if there is any above-market performance at all, it is due to a small set of firms in the computer and Internet industries. But their data seem to suggest the opposite. The returns are actually both exceptionally large and significant. Using monthly data, their portfolio consisting of strong American Customer Satisfaction Index (ACSI) firms outperformed the market by 0.0053, corresponding to 6.4% cumulative risk-adjusted above-market returns on an annual basis over a 10-year period—a performance that would beat at least 99% of all large-cap U.S. stock funds tracked by Morningstar. Using a different treatment of risk, their annualized risk-adjusted return is a whopping 8.4% better than market. After eliminating computer, Internet, and utility companies, they find that the monthly risk-adjusted abnormal returns drop to 0.0045, which corresponds to an annual above-market return of 5.4%. This too is better than 99% of all actively managed stock funds in the population. Yet Jacobson and Mizik conclude that these returns are not statistically significant and that there is no evidence that stock returns from firms with strong customer satisfaction outperform the market over the long run. The failure to reject the null hypothesis is probably due to a lack of statistical power in Jacobson and Mizik’s analysis. We discuss why this is likely the case and then present new data updating the results from our original article [Fornell, C. , S. Mithas, F. Morgeson III, M. S. Krishnan. 2006. Customer satisfaction and stock prices: High returns, low risk. J. Marketing 70(1) 3–14]. The above-market returns persist and are both economically and statistically significant.