Miracle-dz/UniFAR-FTUs huggingface dataset:
Frailty and impaired cardiac autonomic control: new insights from principal components aggregation of traditional heart rate variability indices.

BACKGROUND Age-related deterioration in homeostatic regulatory mechanisms leads to decreased complexity in their output. For example, the degradation of cardiac autonomic control results in loss of complexity in the heart rate signal. Frailty is a state of critically impaired homeostasis that results in heightened vulnerability to stressors. We propose a new measure of heart rate variability (HRV) to capture the impairment in cardiac autonomic control associated with frailty. METHODS Traditional time and frequency domain indices of HRV were obtained from 2-hour ambulatory electrocardiograms (ECGs) of 276 women (65-101 years old) in the Women's Health and Aging Study-I. Principal components analysis was conducted on the correlation matrix of HRV indices. Frailty was defined using a validated instrument. Regression models were used to evaluate associations of HRV measures with age, frailty, and 5-year mortality. RESULTS The first two principal components (PCs), PC1 and PC2, explained 90% of the variance in HRV indices. PC1 is the mean of log-transformed HRV indices. PC2 is a linear combination of log-transformed indices, with positive weights for very low frequency (VLF), low frequency (LF), and standard deviation of N-N intervals (SDNN), and negative weights for high frequency (HF), root-mean-squared differences of successive N-N intervals (RMSSD), and proportion of all N-N intervals that are larger than 50 ms (pNN50). Decreases in SDNN, VLF, LF, and LF/HF were associated with an increased risk of frailty. PC2 was more strongly associated with age (beta = -.23, p < .001) and frailty (beta = -.73, p < 10(-5)) than were the individual HRV indices and LF/HF. PC2 was also the best predictor of 5-year mortality (beta = -.60, p < 10(-6)). CONCLUSIONS Cardiac autonomic control, as reflected by HRV, is impaired in frailty. A new measure derived from PC aggregation of traditional HRV indices provides a compact summary of this impairment.
Human immunodeficiency virus type 1 (HIV-1)--and Epstein-Barr virus--specific cytotoxic T lymphocyte precursors exhibit different kinetics in HIV-1--infected persons.

The frequencies of human immunodeficiency virus type 1 (HIV-1) Gag- and Epstein-Barr virus (EBV)-specific cytotoxic T lymphocyte precursors (CTLp) were studied longitudinally in peripheral blood mononuclear cells from 9 HIV-1-infected persons. By antigen-specific stimulation, HIV-1 Gag-specific CTLp were detected in vitro throughout the course of HIV-1 infection, even after the onset of overt disease. In 4 patients, however, HIV-1 Gag-specific CTLp frequencies declined over time in the presence of maintained EBV-specific CTLp. This decline was correlated with decreasing CD4 (r = .38; P < .05) and CD8 (r = .75; P < .001) cell numbers. The maintenance of EBV-specific CTLp in patients with low CD4 cell numbers indicated that EBV-specific CTL-mediated immunity may remain longer unaffected by HIV-1-induced immune dysfunction. Consistent with this observation, the growth of EBV-specific CTL could be supported in vitro by EBV-infected lymphoblastoid B cell lines, independent of both CD4 cells and exogenous cytokines.
High molecular weight kininogen regulates prekallikrein assembly and activation on endothelial cells: a novel mechanism for contact activation.

The consequences of assembling the contact system of proteins on the surface of vascular cells has received little study. We asked whether assembly of these proteins on the surface of cultured human endothelial cells (HUVECs) results in the activation of prekallikrein (PK) and its dependent pathways. Biotinylated PK binds specifically and reversibly to HUVECs in the presence of high molecular weight kininogen (HK) (apparent Kd of 23 +/- 11 nmol/L, Bmax of 1.7 +/- 0.5 x 10(7) sites per cell [mean +/- SD, n = 5 experiments]). Cell-associated PK is rapidly converted to kallikrein. Surprisingly, the activation of cell-associated HK.PK complexes is entirely independent of exogenous factor XII (Km = 30 nmol/L, Vmax = 12 +/- 3 pmol/L/min in the absence v Km = 20 nmol/L, Vmax = 9.2 +/- 2.1 pmol/L/min in the presence of factor XII). Rather, kallikrein formation is mediated by an endothelial cell-associated, thiol protease. Cell-associated HK is proteolyzed during the course of prekallikrein activation, releasing kallikrein from the surface. Furthermore, activation of PK bound to HK on HUVECs promotes kallikrein-dependent activation of pro-urokinase, resulting in the formation of plasmin. These results indicate the existence of a previously undescribed, factor XII-independent pathway for contact factor activation on HUVECs that regulates the production of bradykinin and may contribute to cell-associated plasminogen activation in vivo.
Low-complexity, multi-channel, lossless and near-lossless EEG compression

Current EEG applications imply the need for low-latency, low-power, high-fidelity data transmission and storage algorithms. This work proposes a compression algorithm meeting these requirements through the use of modern information theory and signal processing tools (such as universal coding, universal prediction, and fast online implementations of multivariate recursive least squares), combined with simple methods to exploit spatial as well as temporal redundancies typically present in EEG signals. The resulting compression algorithm requires O(1) operations per scalar sample and surpasses the current state of the art in near-lossless and lossless EEG compression ratios.
Multi-task Multi-domain Representation Learning for Sequence Tagging

Representation learning with deep models have demonstrated success in a range of NLP. In this paper we consider its use in a multi-task multi-domain setting for sequence tagging by proposing a unified framework for learning across tasks and domains. Our model learns robust representations that yield better performance in this setting. We use shared CRFs and domain projections to allow the model to learn domain specific representations that can feed a single task specific CRF. We evaluate our model on two tasks -- Chinese word segmentation and named entity recognition -- and two domains -- news and social media -- and achieve state-of-the-art results for both social media tasks.
Examining Correlates of Problematic Internet Pornography Use Among University Students

Background and aims The phenomenon of Internet pornography (IP) addiction is gainingincreasing attention in the popular media and psychological research. What has not been tested empirically is how frequency and amount ofIP use, along with other individual characteristics, are related tosymptoms of IP addiction. Methods 105 female and 86 male university students (mean age 21) from Calgary,Canada, were administered measures of IP use, psychosocial functioning (anxiety and depression, life and relationship satisfaction), addictivepropensities, and addictive IP use. Results Men reported earlier age of exposure and more frequent current IP use than women. Individuals not in relationships reported more frequent use than those in relationships. Frequency of IP use wasnot generally correlated with psychosocial functioning but was significantly positively correlated with level of IP addiction. Higher level of IP addiction was associated with poorer psychosocial functioning and problematic alcohol, cannabis, gambling and, in particular, video game use. A curvilinear association was found between frequency of IP use and level of addiction such that daily or greater IP use was associated with a sharp rise in addictive IP scores. Discussion The failure to find a strong significant relationship between IP use and general psychosocial functioning suggests that the overall effect of IP use is not necessarily harmful in and of itself. Addictiveuse of IP, which is associated with poorer psychosocial functioning, emerges when people begin to use IP daily.
Gene Expression Profiling of Dendritic Cells Reveals Important Mechanisms Associated with Predisposition to Staphylococcus Infections

Background Staphylococcus aureus is a major pathogen of humans and animals and emerging antibiotic-resistant strains have further increased the concern of this health issue. Host genetics influence susceptibility to S. aureus infections, and the genes determining the outcome of infections should be identified to find alternative therapies to treatment with antibiotics. Here, we used outbred animals from a divergent selection based on susceptibility towards Staphylococcus infection to explore host immunogenetics. Methodology/Principal Findings We investigated how dendritic cells respond to heat-inactivated S. aureus and whether dendritic cells from animals showing different degrees of susceptibility had distinct gene expression profiles. We measured gene expression levels of in vitro S. aureus-stimulated bone marrow-derived dendritic cells at three different time points (0, 3 and 8 hrs) by using 15 k ovine Agilent microarrays. Furthermore, differential expression of a selected number of genes was confirmed by RT-qPCR. Gene signatures of stimulated DCs were obtained and showed that genes involved in the inflammatory process and T helper cell polarization were highly up-regulated upon stimulation. Moreover, a set of 204 genes were statistically differentially expressed between susceptible and resistant animals, and grouped them according to their predisposition to staphylococcal infection. Interestingly, over-expression of the C1q and Ido1 genes was observed in the resistant line and suggested a role of classical pathway of complement and early regulation of inflammation pathways, respectively. On the contrary, over expression of genes involved in the IL1R pathway was observed in susceptible animals. Furthermore, the leucocyte extravasation pathway was also found to be dominant in the susceptible line. Conclusion/Significance We successfully obtained Staphylococcus aureus associated gene expression of ovine BM-DC in an 8-hour kinetics experiment. The distinct transcriptional profiles of dendritic cells obtained from resistant and susceptible animals may explain susceptibility towards S. aureus infections in a broader context.
Performance bounds for MIMO bit-interleaved coded modulation with zero-forcing receivers

Tight analytical bounds on the coded bit error rate are derived for a MIMO bit-interleaved coded modulation (BICM) system with a zero forcing receiver. We show that a minimal expurgated bound exists when using Gray-labelled constellations. We also show that with N/sub t/ transmit and N/sub r/ receive antennas, the diversity order is N/sub r/-N/sub t/+1 multiplied by the free distance of the code. For the maximum likelihood receiver, we demonstrate that expurgation does not lead to a tight bound. The analysis provides insight into the relative performance of the MIMO-BICM ZF and ML receivers.
Neural net word representations for phrase-break prediction without a part of speech tagger

The use of shared projection neural nets of the sort used in language modelling is proposed as a way of sharing parameters between multiple text-to-speech system components. We experiment with pretraining the weights of such a shared projection on an auxiliary language modelling task and then apply the resulting word representations to the task of phrase-break prediction. Doing so allows us to build phrase-break predictors that rival conventional systems without any reliance on conventional knowledge-based resources such as part of speech taggers.
Impact of Environmental Parameters on Marathon Running Performance

Purpose The objectives of this study were to describe the distribution of all runners' performances in the largest marathons worldwide and to determine which environmental parameters have the maximal impact. Methods We analysed the results of six European (Paris, London, Berlin) and American (Boston, Chicago, New York) marathon races from 2001 to 2010 through 1,791,972 participants' performances (all finishers per year and race). Four environmental factors were gathered for each of the 60 races: temperature (°C), humidity (%), dew point (°C), and the atmospheric pressure at sea level (hPA); as well as the concentrations of four atmospheric pollutants: NO2 – SO2 – O3 and PM10 (μg.m−3). Results All performances per year and race are normally distributed with distribution parameters (mean and standard deviation) that differ according to environmental factors. Air temperature and performance are significantly correlated through a quadratic model. The optimal temperatures for maximal mean speed of all runners vary depending on the performance level. When temperature increases above these optima, running speed decreases and withdrawal rates increase. Ozone also impacts performance but its effect might be linked to temperature. The other environmental parameters do not have any significant impact. Conclusions The large amount of data analyzed and the model developed in this study highlight the major influence of air temperature above all other climatic parameter on human running capacity and adaptation to race conditions.
Statistical characterization of urban spatial radio channels

We present a statistical analysis of wideband three-dimensional channel measurements at base station locations in an urban environment. Plots of the received energy over azimuth, elevation, and delay planes suggest that the incident waves group to clusters in most measured transmitter positions. A super-resolution algorithm (Unitary ESPRIT) allows one to resolve individual multipath components in such clusters and hence enables a detailed statistical analysis of the propagation properties. The origins of clusters-sometimes even individual multipath components-such as street apertures, large buildings, roof edges, or building corners can be localized on the city map. Street guided propagation dominates most of the scenarios (78%-97% of the total received power), while quasi-line-of-sight over-the-rooftop components are weak(3%-13% of the total received power). For this measurement campaign, in 90% of the cases, 75% of the total received power is concentrated in the two strongest clusters, but only 55% in the strongest one. Our analysis yields an exponential decay of power with 8.9 dB//spl mu/s, and a standard deviation of the log-normally distributed deviations from the exponential of 9.0 dB. The power of cross-polarized components is 8 dB below copolarized ones on average (vertical transmission).
Potential short-term use of oral cladribine in treatment of relapsing-remitting multiple sclerosis

Multiple sclerosis (MS) is a chronic, immune-mediated disorder of the central nervous system. The clinical course of MS varies among patients. Currently, interferon (IFN) products, including IFN β-1a administered intramuscularly or subcutaneously and IFN β-1b subcutaneously, glatiramer acetate, natalizumab, and mitoxantrone are approved disease-modifying therapies for the treatment of relapsing-remitting MS. Cladribine, also known as 2-chlorodeoxyadenosine, is a synthetic adenosine deaminase-resistant purine nucleoside analog that preferentially depletes lymphocyte subpopulations. This sustained effect on lymphocytes is advantageous for patients with MS. CLARITY (CLAdRIbine Tablets Treating MS OrallY), a Phase III trial, has demonstrated that short-term oral cladribine decreases relapse rates and risk of disability progression in comparison with placebo. Cladribine was well tolerated in the study, with the most common adverse effects being headache, nausea, upper respiratory tract infections, and lymphocytopenia. An ongoing study is evaluating the efficacy and safety of the combination of oral cladribine and IFN-β products. A further ongoing study is examining the use of oral cladribine in clinically isolated syndrome and time to conversion to MS. Although the results of CLARITY are promising, the exact role of oral cladribine may be better defined with the completion of ongoing studies.
Hexagonal map grids – an experimental study on the performance in memory of object locations

ABSTRACT In various every day contexts, maps are used as media supporting orientation, wayfinding, and navigation tasks. To create highly accurate and reliable maps, cartographers must be aware of cognitive effects that occur when people process map information. Interdisciplinary research from cognitive psychologists showed that map graphics lead to spatial distortions in human spatial memory. These distortions can influence human orientation capacities. Recently, it was discovered that grid structures overlaid on maps help to correct spatial distortions in cognitive representations of geographic space. Square grids chunk a map into smaller units (regions). They guide map-viewing behavior, and their regular structure helps map users to recall learned locations of objects more accurately. The effects caused by square grids may also occur when overlaying other common kinds of geometries, such as hexagonal structures. The effects of hexagonal grid structures on memory of object locations were investigated in this map-experimental study. The study design is based on a recall-memory-paradigm, an established method of experimental psychology to measure performance in memory. The results show that hexagonal grid patterns can improve the performance.
Laryngeal mask airway protector™: Advanced uses for laparoscopic cholecystectomies

The laryngeal mask airway (LMA) Protector™ is a second-generation perilaryngeal sealer type supraglottic airway device recently introduced into clinical practice. We describe our initial experiences with the use of the LMA Protector™ in three patients undergoing laparoscopic cholecystectomies. In all patients, we found the LMA Protector™ to have acceptable placements on the first attempt, adequate oropharyngeal leak pressures and ventilation adequacy.
Early development of the T cell repertoire. In vivo treatment of neonatal mice with anti-Ia antibodies interferes with differentiation of I-restricted T cells but not K/D-restricted T cells

Monoclonal antibodies to I-Ak were injected into neonatal H-2k mice for a period of 3 wk. The spleens of such mice are devoid of Ia-positive cells. Allo- and trinitrophenyl (TNP)-self-specific cytotoxic T lymphocyte (CTL) responses in such anti-I-A-treated mice were almost completely abrogated at the end of the 2-3 wk in vivo treatment period. Development of suppressor cells, carry-over of blocking antibodies, lack of responder accessory cells, or defective CTL function were not responsible for the observed defect. As concanavalin A supernatant could restore the defect, it is more likely that the defect is due to the absence of competent Ia-specific T helper cells. In addition, anti- I-A-treated mice exhibit reduced I-A antigen expression in the thymus and defective Ia-bearing accessory cell function in the spleen. It is postulated that, for development of Ia-specific T cells to occur, precursor T cells need to interact with Ia-encoded products in the thymus, and anti-Ia treatment interferes with this process. Finally, the mechanism of this interference was shown to be due to actual removal or functional inactivation of those I-A-positive elements responsible for the education of I-A-recognizing T cells, since in (H- 2b X H-2k)F1 mice, treatment with anti-I-Ak antibodies results in abrogation of CTL responses to TNP in association with both parental haplotypes, while in the thymus of these mice expression of both I-Ak and I-Ab was reduced.
Fast polygonal integration and its application in extending haar-like features to improve object detection

The integral image is typically used for fast integrating a function over a rectangular region in an image. We propose a method that extends the integral image to do fast integration over the interior of any polygon that is not necessarily rectilinear. The integration time of the method is fast, independent of the image resolution, and only linear to the polygon's number of vertices. We apply the method to Viola and Jones' object detection framework, in which we propose to improve classical Haar-like features with polygonal Haar-like features. We show that the extended feature set improves object detection's performance. The experiments are conducted in three domains: frontal face detection, fixed-pose hand detection, and rock detection for Mars' surface terrain assessment.
Understanding Child Stunting in India: A Comprehensive Analysis of Socio-Economic, Nutritional and Environmental Determinants Using Additive Quantile Regression

Background Most attempts to address undernutrition, responsible for one third of global child deaths, have fallen behind expectations. This suggests that the assumptions underlying current modelling and intervention practices should be revisited. Objective We undertook a comprehensive analysis of the determinants of child stunting in India, and explored whether the established focus on linear effects of single risks is appropriate. Design Using cross-sectional data for children aged 0–24 months from the Indian National Family Health Survey for 2005/2006, we populated an evidence-based diagram of immediate, intermediate and underlying determinants of stunting. We modelled linear, non-linear, spatial and age-varying effects of these determinants using additive quantile regression for four quantiles of the Z-score of standardized height-for-age and logistic regression for stunting and severe stunting. Results At least one variable within each of eleven groups of determinants was significantly associated with height-for-age in the 35% Z-score quantile regression. The non-modifiable risk factors child age and sex, and the protective factors household wealth, maternal education and BMI showed the largest effects. Being a twin or multiple birth was associated with dramatically decreased height-for-age. Maternal age, maternal BMI, birth order and number of antenatal visits influenced child stunting in non-linear ways. Findings across the four quantile and two logistic regression models were largely comparable. Conclusions Our analysis confirms the multifactorial nature of child stunting. It emphasizes the need to pursue a systems-based approach and to consider non-linear effects, and suggests that differential effects across the height-for-age distribution do not play a major role.
Combining Rhythm-Based and Pitch-Based Methods for Background and Melody Separation

Musical works are often composed of two characteristic components: the background (typically the musical accompaniment), which generally exhibits a strong rhythmic structure with distinctive repeating time elements, and the melody (typically the singing voice or a solo instrument), which generally exhibits a strong harmonic structure with a distinctive predominant pitch contour. Drawing from findings in cognitive psychology, we propose to investigate the simple combination of two dedicated approaches for separating those two components: a rhythm-based method that focuses on extracting the background via a rhythmic mask derived from identifying the repeating time elements in the mixture and a pitch-based method that focuses on extracting the melody via a harmonic mask derived from identifying the predominant pitch contour in the mixture. Evaluation on a data set of song clips showed that combining such two contrasting yet complementary methods can help to improve separation performance-from the point of view of both components-compared with using only one of those methods, and also compared with two other state-of-the-art approaches.