Miracle-dz/UniFAR-FTUs huggingface dataset:
Personality and Intelligence: Gender, the Big Five, Self-Estimated and Psychometric Intelligence

This paper reports on two studies that investigated the relationship between the Big Five personality traits, self-estimates of intelligence (SEI), and scores on two psychometrically validated intelligence tests. In study 1 a total of 100 participants completed the NEO-PI-R, the Wonderlic Personnel Test and the Baddeley Reasoning Test, and estimated their own intelligence on a normal distribution curve. Multiple regression showed that psychometric intelligence was predicted by Conscientiousness and SEI, while SEI was predicted by gender, Neuroticism (notably anxiety) and Agreeableness (notably modesty). Personality was a better predictor of SEI than of psychometric intelligence itself. Study 2 attempted to explore the relationship between SEI and psychometric intelligence. A total of 130 participants completed the NEO-PI-R, the Baddeley Reasoning Test, and the S & M Spatial intelligence test. In addition, SEI and participants conceptions of intelligence were also examined. In combination with gender and previous IQ test experience, these variables were found to predict about 11% of the variance in SEI. SEI was the only significant predictor of psychometrically measured intelligence. Inconsistencies between results of the two studies, theoretical and applied implications, and limitations of this work are discussed.
Non-Convex Compressed Sensing Using Partial Support Information

In this paper we address the recovery conditions of weighted minimization for signal reconstruction from compressed sensing measurements when partial support information is available. We show that weighted minimization with is stable and robust under weaker sucient conditions compared to weighted minimization. Moreover, the sucient recovery conditions of weighted are weaker than those of regular minimization if at least of the support estimate is accurate. We also review some algorithms which exist to solve the non-convex problem and illustrate our results with numerical experiments.
Convex synthesis of symmetric modifications to linear systems

We develop a method for designing symmetric modifications to linear dynamical systems for the purpose of optimizing ℋ2 performance. For systems with symmetric dynamic matrices this problem is convex. While in the absence of symmetry the design problem is not convex in general, we show that the ℋ2 norm of the symmetric part of the system provides an upper bound on the ℋ2 norm of the original system. We then study the particular case where the modifications are given by a weighted sum of diagonal matrices and develop an efficient customized algorithm for computing the optimal solution. Finally, we illustrate the efficacy of our approach on a combination drug therapy example for HIV treatment.
Anti-PM-Scl antibody in patients with systemic sclerosis.

OBJECTIVES To compare systemic sclerosis (SSc) patients with and without anti-PM-Scl antibody. METHODS We reviewed the medical records of 76 anti-PM-Scl antibody positive SSc patients and 2349 anti-PMScl negative SSc patients first evaluated during 1980-2004. Patients were included if they had a clinical diagnosis of SSc either alone or in overlap with another connective tissue disease. Anti-PM-Scl antibody was screened for by indirect immunofluorescence and tested by Ouchterlony double immunodiffusion. RESULTS Anti-PM-Scl antibody positive patients had a significantly higher frequency of a positive ANA with nucleolar staining (87% vs. 32%, p<0.0001) and were younger at both symptom onset (p=0.004) and first physician diagnosis of SSc (p<0.001). They were classified more often as having overlap with another connective tissue disease, particularly polymyositis-dermatomyositis, and more frequently had limited cutaneous involvement (72% vs. 52%, p=0.001). Maximal skin thickening was less in anti-PM-Scl antibody patients (mean modified Rodnan total skin score 6.0±6.3 vs. 15.9±14.2, p<0.001). Anti-PM-Scl antibody positive patients less frequently had peripheral vascular (91% vs. 98%, p=0.0002) and gastrointestinal (52% vs. 79%, p=0.0001) disease. Lung involvement overall had a similar distribution between both groups. However, radiographic evidence of pulmonary fibrosis was more frequent in anti-PM-Scl antibody positive patients (50% vs. 37%, p=0.05) and pulmonary arterial hypertension was less often detected (5% vs. 15%, p<0.04). Skeletal muscle involvement (51% vs. 14%, p<0.0001) and subcutaneous calcinosis (p<0.003) were both significantly more often observed in anti-PM-Scl antibody positive patients. Joint, heart, and kidney involvement were similar in both groups. Overall survival was significantly better for anti-PM-Scl antibody positive patients (10 year cumulative survival rate 91% vs. 65%, p=0.0002). After adjustment for age, sex and limited vs. diffuse cutaneous involvement, patients with anti-PM-Scl antibody were significantly less likely to die (HR=0.32, 95% CI, [0.14, 0.72] p=0.006). CONCLUSIONS SSc patients with anti-PM-Scl antibody are younger and significantly more often have limited cutaneous involvement, skeletal muscle disease, pulmonary fibrosis and calcinosis compared to anti-PM-Scl antibody negative SSc patients. Ten-year cumulative survival is significantly better in anti-PM-Scl antibody positive SSc patients.
Current Issues in Atrial Fibrillation

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. It places an enormous burden on the patients, caregivers, and the society at large. While the main themes in the care of an AF patient have not changed over the years and continue to focus on stroke prevention, control of the ventricular, rate and rhythm maintenance, there have been a number of new developments in each of these realms. This paper will discuss the “hot” topics in AF in 2012 including new and upcoming medical and invasive management strategies for this condition.
Early detection of acute lung injury uncoupled to hypoxemia in pigs using ultrasound lung comets *

Objective: Oleic acid‐induced lung injury is an established experimental model of acute lung injury in pigs and is considered to reproduce the early exudative phase of acute respiratory distress syndrome. Ultrasound lung comets are an echographic sign of extravascular lung water, originating from thickened interlobular septa. The objective of this study was to evaluate the timing and relationship between the number of ultrasound lung comets, the Pao2/Fio2 ratio, and the static respiratory compliance in an experimental model of oleic acid‐induced lung injury in pigs. Design: Laboratory experiment. Setting: Research institute. Subjects: Ten anesthetized pigs. Interventions: Acute lung injury was induced by injection of oleic acid (0.1 mL/kg, intravenously). Ultrasound lung comets, Pao2/Fio2, and static respiratory compliance were measured at baseline and at 15, 30, 60, and 90 mins after the injection of oleic acid. We evaluated ultrasound lung comets by transthoracic echography (7.5‐MHz vascular probe), scanning on right and left hemithoraxes at 12 predefined scanning sites. Measurements and Main Results: Acute lung injury/acute respiratory distress syndrome was present in all pigs at 90 mins. The number of ultrasound lung comets increased over time and was consistently earlier than the decrease in Pao2/Fio2. At 15 mins, ultrasound lung comets were markedly increased, but no significant changes in Pao2/Fio2 were observed. Accordingly, static respiratory compliance was dramatically reduced at 15 mins compared with baseline (17.04 ± 1.82 vs. 34.84 ± 2.62 mL/cm H2O, p < .05). Conclusions: Ultrasound lung comets, assessed by transthoracic echography, detected extravascular lung water accumulation very early in the course of the oleic acid lung injury in pigs, in the presence of a normal Pao2/Fio2. These results suggest that ultrasound lung comets could be a very early, noninvasive, and simple method to detect and quantify pulmonary edema in acute lung injury.
Utility of the Atopy Patch Test in the Diagnosis of Allergic Rhinitis

Introduction: The diagnostic work-up of allergic rhinitis (AR) is first and foremost based on the combination of clinical history data and results of skin prick tests (SPT). Other tests, including specific IgE measurement, nasal challenge, and, as a third option, component resolved diagnosis or basophil activation test, may be useful when the diagnosis is difficult because of polysensitization or when negative results of SPT are observed despite a suggestive history for allergy. The atopy patch test (APT) that assesses the type 4 delayed hypersensitivity allergy is currently not sufficiently used. The data obtained in recent studies on the diagnostic utility of the APT in patients with AR was reviewed. Data Sources: Review of the literature. Conclusion: The data from available studies show that the APT is frequently positive in patients with AR, especially when there is a positive history for atopic dermatitis. Very often, APT is the only positive test and therefore performing only SPT or in vitro IgE measurement may lead to an erroneous diagnosis of nonallergic rhinitis. Recent data suggest a role for APT not only for diagnosis but also in epidemiological investigation on respiratory allergy.
Red Colobus as Prey: The Leaping Habits of Five Sympatric Old World Monkeys

This study explored the leaping habits of five sympatric Old World monkeys (Colobus badius, Colobus guereza, Cercopithecus ascanius, Cercopithecus mitis and Cercocebus albigena) in an attempt to determine why chimpanzees prefer to hunt red colobus. We videotaped the leaps of the monkeys for 3 months in Uganda’s Kibale National Park. Data were collected on leap preparation time as well as several other variables of the leaps. The leap preparation time of red colobus was found to be about double that of the other species studied. This difference is a likely reason why red colobus represent the preferred prey of chimpanzees. The hypothesis that red colobus spend more time in isolated trees than do other species was not supported.
Evolving a legacy data warehouse system to an object-oriented architecture

We introduce an object-oriented approach to transform a star-schema of a legacy data warehouse system into a Dimensional Object Model (DOM) (Firestone, 1998), in order to take advantage of the flexibility of the object paradigm. We have applied the Object-Oriented Software Engineering (OOSE) process, proposed by (Jacobson et al., 1992), to describe the life cycle of a data warehouse and to clarify the context of our intervention. By means of OOSE we also define the target architecture and the components that will ensure the development of reuse-supporting data warehouse systems. In a sense, a change tolerant architecture is proposed, as referred to by (Jacobson, 1998). The solution proposed applies the object paradigm for the star-schema decomposition in a three-layer architecture, separating the components in logical, interface and data management layers. This decomposition minimizes the dependence among the components and increases their reusability. The main contribution of this work is that, by transforming the star-schema into a DOM, we are preparing the system to evolve through any object-oriented data warehouse development methodology. In a context of many already existing data warehouse systems based on relational models, this transformation sounds especially interesting.
Cure kinetics analysis and simulation of silicone adhesives

A nonlinear transient heat transfer finite element model based on commercial finite element software, ABAQUS, is developed to simulate the curing process of silicone adhesive. The curing reaction process and specific heat of the silicone adhesive were investigated using a differential scanning calorimetry (DSC) to obtain material parameters for numerical simulations. Curing reaction kinetics was derived. Using the user subroutine HETVAL of ABAQUS, temperature distributions inside silicone can be evaluated by solving the heat conduction equations including internal heat generation produced by curing reactions. Good agreement between experimental data and numerical analysis by ABAQUS is obtained.
A rake finger grid for asynchronous DS-CDMA systems using LMMSE tap weight estimation

In this paper a Rake finger grid structure for direct-sequence code division multiple access (DS-CDMA) systems is analyzed as an alternative to the conventional Rake structure using individual fingers with timing- and phasor tracking. The grid uses a group of equispaced Rake fingers in the delay domain. Each of the Rake fingers uses linear minimum mean-squared error (LMMSE) tap weight estimation needed for the subsequent maximum-ratio combining (MRC). It is pointed out during the paper that the use of a grid is advantageous compared to the conventional Rake receiver in some scenarios where the channel forms so called clusters, consisting of many unresolvable, closely spaced multipaths. It is also shown that when using fractionally-spaced grid fingers, the task of fine timing tracking can be omitted. Only coarse timing estimation is necessary, which can be performed by a suitable acquisition unit.
Bach Is the Father of Harmony: Revealed by a 1/f Fluctuation Analysis across Musical Genres

Harmony is a fundamental attribute of music. Close connections exist between music and mathematics since both pursue harmony and unity. In music, the consonance of notes played simultaneously partly determines our perception of harmony; associates with aesthetic responses; and influences the emotion expression. The consonance could be considered as a window to understand and analyze harmony. Here for the first time we used a 1/f fluctuation analysis to investigate whether the consonance fluctuation structure in music with a wide range of composers and genres followed the scale free pattern that has been found for pitch, melody, rhythm, human body movements, brain activity, natural images and geographical features. We then used a network graph approach to investigate which composers were the most influential both within and across genres. Our results showed that patterns of consonance in music did follow scale-free characteristics, suggesting that this feature is a universally evolved one in both music and the living world. Furthermore, our network analysis revealed that Bach’s harmony patterns were having the most influence on those used by other composers, followed closely by Mozart.
Working-set-based address mapping for ultra-large-scaled flash devices

Address mapping for flash devices has been a challenging design problem for controllers because of the rapidly growing device capacity. Different from the past work, a capacity-independent address mapping scheme that only depends on users' access data set, referred to as working set, is proposed. As a result, fine-grained address mapping is achieved with significant performance boosting, compared to the past work. In addition, a simple but practical wear-leveling design is proposed with the capability in lifetime estimation of flash devices. The proposed scheme was evaluated by a series of experiments with encouraging results.
Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations

While many data sets contain multiple relationships, depicting more than one data relationship within a single visualization is challenging. We introduce Bubble Sets as a visualization technique for data that has both a primary data relation with a semantically significant spatial organization and a significant set membership relation in which members of the same set are not necessarily adjacent in the primary layout. In order to maintain the spatial rights of the primary data relation, we avoid layout adjustment techniques that improve set cluster continuity and density. Instead, we use a continuous, possibly concave, isocontour to delineate set membership, without disrupting the primary layout. Optimizations minimize cluster overlap and provide for calculation of the isocontours at interactive speeds. Case studies show how this technique can be used to indicate multiple sets on a variety of common visualizations.
A generic formal model for fission of modalities in output multi-modal interactive systems

Output multi-modal human-machine interfaces combine semantically output medias and modalities in order to increase interaction machine capabilities. The aim of this paper is to present a formal model supporting formal specifications of output multi-modal interactive systems. As a consequence, the expected usability and robustness properties can be expressed and checked. This paper proposes a generic model which permits to specify the output multimodal interfaces following the CASE design space.
Strong LTCs with Inverse Poly-Log Rate and Constant Soundness

An error-correcting code C is called (q, ϵ)-strong locally testable code (LTC) if there exists a tester that makes at most q queries to the input word. This tester accepts all code words with probability 1 and rejects all non-code words x with probability at least ϵ · δ(x, C), where δ(x, C) denotes the relative Hamming distance between the word x and the code C. The parameter q is called the query complexity and the parameter ϵ is called soundness. In this paper we resolve an open question raised by Gold Reich and Sudan (J. ACM 2006) and construct binary linear strong LTCs with query complexity 3, constant relative distance, constant soundness and inverse polylogarithmic rate. Our result is based on the previous paper of the author (Vide man, ECCC TR12-168), which presented binary linear strong LTCs with query complexity 3, constant relative distance, and inverse polylogarithmic soundness and rate. We show that the "gap amplification" procedure of Dinur (J. ACM 2007) can be used to amplify the soundness of these strong LTCs from inverse polylogarithmic up to a constant, while preserving the other parameters of these codes. Furthermore, we show that under a conceivable conjecture, there exist asymptotically good strong LTCs with poly-log query complexity.
Effect of abdominal binding on respiratory mechanics during exercise in athletes with cervical spinal cord injury

We asked whether elastic binding of the abdomen influences respiratory mechanics during wheelchair propulsion in athletes with cervical spinal cord injury (SCI). Eight Paralympic wheelchair rugby players with motor-complete SCI (C5-C7) performed submaximal and maximal incremental exercise tests on a treadmill, both with and without abdominal binding. Measurements included pulmonary function, pressure-derived indices of respiratory mechanics, operating lung volumes, tidal flow-volume data, gas exchange, blood lactate, and symptoms. Residual volume and functional residual capacity were reduced with binding (77 ± 18 and 81 ± 11% of unbound, P < 0.05), vital capacity was increased (114 ± 9%, P < 0.05), whereas total lung capacity was relatively well preserved (99 ± 5%). During exercise, binding introduced a passive increase in transdiaphragmatic pressure, due primarily to an increase in gastric pressure. Active pressures during inspiration were similar across conditions. A sudden, sustained rise in operating lung volumes was evident in the unbound condition, and these volumes were shifted downward with binding. Expiratory flow limitation did not occur in any subject and there was substantial reserve to increase flow and volume in both conditions. V̇o2 was elevated with binding during the final stages of exercise (8–12%, P < 0.05), whereas blood lactate concentration was reduced (16–19%, P < 0.05). V̇o2/heart rate slopes were less steep with binding (62 ± 35 vs. 47 ± 24 ml/beat, P < 0.05). Ventilation, symptoms, and work rates were similar across conditions. The results suggest that abdominal binding shifts tidal breathing to lower lung volumes without influencing flow limitation, symptoms, or exercise tolerance. Changes in respiratory mechanics with binding may benefit O2 transport capacity by an improvement in central circulatory function.
Increased Genomic Prediction Accuracy in Wheat Breeding Through Spatial Adjustment of Field Trial Data

In crop breeding, the interest of predicting the performance of candidate cultivars in the field has increased due to recent advances in molecular breeding technologies. However, the complexity of the wheat genome presents some challenges for applying new technologies in molecular marker identification with next-generation sequencing. We applied genotyping-by-sequencing, a recently developed method to identify single-nucleotide polymorphisms, in the genomes of 384 wheat (Triticum aestivum) genotypes that were field tested under three different water regimes in Mediterranean climatic conditions: rain-fed only, mild water stress, and fully irrigated. We identified 102,324 single-nucleotide polymorphisms in these genotypes, and the phenotypic data were used to train and test genomic selection models intended to predict yield, thousand-kernel weight, number of kernels per spike, and heading date. Phenotypic data showed marked spatial variation. Therefore, different models were tested to correct the trends observed in the field. A mixed-model using moving-means as a covariate was found to best fit the data. When we applied the genomic selection models, the accuracy of predicted traits increased with spatial adjustment. Multiple genomic selection models were tested, and a Gaussian kernel model was determined to give the highest accuracy. The best predictions between environments were obtained when data from different years were used to train the model. Our results confirm that genotyping-by-sequencing is an effective tool to obtain genome-wide information for crops with complex genomes, that these data are efficient for predicting traits, and that correction of spatial variation is a crucial ingredient to increase prediction accuracy in genomic selection models.
Changes in Heart Rate Variability of Depressed Patients after Electroconvulsive Therapy

Objective. As few, small studies have examined the impact of electroconvulsive therapy (ECT) upon the heart rate variability of patients with major depressive disorder (MDD), we sought to confirm whether ECT-associated improvement in depressive symptoms would be associated with increases in HRV linear and nonlinear parameters. Methods. After providing consent, depressed study participants (n = 21) completed the Beck Depression Index (BDI), and 15-minute Holter monitor recordings, prior to their 1st and 6th ECT treatments. Holter recordings were analyzed for certain HRV indices: root mean square of successive differences (RMSSD), low-frequency component (LF)/high-frequency component (HF) and short-(SD1) versus long-term (SD2) HRV ratios. Results. There were no significant differences in the HRV indices of RMSDD, LF/HF, and SD1/SD2 between the patients who responded, and those who did not, to ECT. Conclusion. In the short term, there appear to be no significant improvement in HRV in ECT-treated patients whose depressive symptoms respond versus those who do not. Future studies will reveal whether diminished depressive symptoms with ECT are reliably associated with improved sympathetic/parasympathetic balance over the long-term, and whether acute changes in sympathetic/parasympathetic balance predict improved mental- and cardiac-related outcomes.