Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantifying He fluxes from the mantle using multi-tracer data assimilation

A global, coarse-resolution ocean model previously fitted to geostrophic shear estimates and to data of 10 hydrographic parameters and tracers has been used to simulate the 3He and 4He distributions resulting from the release of mantle helium from mid-ocean ridges. The model is in very good agreement with 14C and chlorofluorocarbon data and has realistic global ocean overturning strength as well as water mass formation and transport rates. It is found that previously published global mantle 3He fluxes are too high by a factor of about 2. In the model, optimal agreement of modelled δ3He with data is achieved for a global flux of 450 ± 50 mol 3He yr−1. The formulation of He source strengths proportional to ridge spreading rates appears compatible with data. A model/data misfit analysis shows significant and large-scale δ3He underestimation in the southwestern Pacific centred over the Lau Backarc Basin (approx. 179° W/20° S). These misfits disappear in a set-up with 30 of the 450 mol yr−1 global total 3He flux released in the Lau Basin over a depth range between 1250 and 2500 m. Such He flux contributions are missing in present mantle He source compilations. Hydrothermal fluxes of other trace elements and isotopes (TEI) can be calculated from He fluxes on the basis of TEI : He ratios measured close to the sources. This article is part of the themed issue ‘Biological and climatic impacts of ocean trace element chemistry’.
Classifying Single-Trial EEG During Motor Imagery by Iterative Spatio-Spectral Patterns Learning (ISSPL)

In most current motor-imagery-based brain-computer interfaces (BCIs), machine learning is carried out in two consecutive stages: feature extraction and feature classification. Feature extraction has focused on automatic learning of spatial filters, with little or no attention being paid to optimization of parameters for temporal filters that still require time-consuming, ad hoc manual tuning. In this paper, we present a new algorithm termed iterative spatio-spectral patterns learning (ISSPL) that employs statistical learning theory to perform automatic learning of spatio-spectral filters. In ISSPL, spectral filters and the classifier are simultaneously parameterized for optimization to achieve good generalization performance. A detailed derivation and theoretical analysis of ISSPL are given. Experimental results on two datasets show that the proposed algorithm can correctly identify the discriminative frequency bands, demonstrating the algorithm's superiority over contemporary approaches in classification performance.
BETAS AND THEIR REGRESSION TENDENCIES

A PREVIOUS STUDY [3] showed that estimated beta coefficients, at least in the context of a portfolio of a large number of securities, were relatively stationary over time. Nonetheless, there was a consistent tendency for a portfolio with either an extremely low or high estimated beta in one period to have a less extreme beta as estimated in the next period. In other words, estimated betas exhibited in that article a tendency to regress towards the grand mean of all betas, namely one. This study will examine in further detail this regression tendency.1 The next section presents evidence showing the existence of this regression tendency and reviews the conventional reasons given in explanation [1], [4], [5]. The following section develops a formal model of this regression tendency and finds that the conventional analysis of this tendency is, if not incorrect, certainly misleading. Accompanying this theoretical analysis are some new empirical results which show that a major reason for the observed regression is real non-stationarities in the underlying values of beta and that the so-called "order bias" is not of dominant importance.
Effect of variant transformations in fusion zones of gas metal arc welds

The macro- and microtextures of gas metal arc welds fabricated using both conventional ferritic and low transformation temperature (LTT) filler metals were examined. Both welds were largely composed of acicular ferrite. The weld textures were found to be distinct, which is observed to be due to variant selection during the austenite to ferrite transformation. In situ electron backscatter diffraction performed during thermal cycling of the LTT fusion zone into the austenite phase field confirmed that these transformations satisfy the expected crystallographic relationships. Implications for welding consumable design and finite element process modelling are drawn.
Temporal Dynamics and Latency Patterns of Receptor Neuron Input to the Olfactory Bulb

Odorants are first represented in the brain by distributed patterns of activity in the olfactory bulb (OB). Although neurons downstream of sensory inputs respond to odorants with temporally structured activity, sensory inputs to glomeruli are typically described as static maps. Here, we imaged the temporal dynamics of receptor neuron input to the OB with a calcium-sensitive dye in the olfactory receptor nerve terminals in anesthetized mice. We found that diverse, glomerulus- and odorant-dependent temporal dynamics are present even at this initial input stage. Instantaneous spatial patterns of receptor input to glomeruli changed both within and between respiration cycles. Glomerular odorant responses differed in amplitude, latency, rise time, and degree of modulation by sniffing in an odorant-specific manner. Pattern dynamics within the first respiration cycle recurred in a similar manner during consecutive cycles. When sniff rate was increased artificially, pattern dynamics were preserved in the first sniff but were attenuated during subsequent sniffs. Temporal response properties were consistent across individuals on a coarse regional scale and on a fine scale of individual glomeruli. Latency and magnitude of glomerular inputs were only weakly correlated and might therefore convey independent odorant information. These data demonstrate that glomerular maps of primary sensory input to the OB are temporally dynamic. These dynamics may contribute to the representation of odorant information and affect information processing in the central olfactory system of rodents.
VibViz : Visualizing a Vibration Library

This paper describes VibViz, an interactive visualization system for a vibration library. The high level goal of VibViz is to support 1) end users to explore and browse the vibration library, and 2) researchers to investigate properties of vibrations. The system visualizes physical, sensory, emotional, metaphor, and usage example vibration attributes using three multi-form views. We employed linked-highlighting to coordinate multiple views in the system. Further, We designed a saturation-coded vibration envelope for more intuitive end-user experience in VibViz. Some preliminary end user feedback suggests VibViz to be an effective tool for exploring vibrations. As the next step, we plan to use VibViz as a research prototype to investigate end-users’ perception of various vibration taxonomies.
Ztitch: A mobile phone application for immersive panorama creation, navigation, and social sharing

This paper presents the design of Ztitch, a mobile phone application that can create immersive panoramic scenes in real time, where multiple photos are arranged in the 3D space according to their camera poses, maintaining a realistic perspective of the scene. By taking full advantage of the touchscreen, accelerometer, and gyroscope in the phone, Ztitch allows users to easily fine-tune each photo's position, navigate the scene, and edit the scenes created by others. When there is a undesired gap or overlap between the two ends of a 360° immersive panorama due to unknown camera focal length or accumulated errors, a fast and accurate algorithm is developed to jointly adjust the entire sequence to achieve the desired panorama. This is again achieved by leveraging the touchscreen of the phone. In addition, a fast color-balancing and exposure-compensation technique is developed to blend neighboring images.
POWER AND POTENTIAL BIAS IN FIELD STUDIES OF NATURAL SELECTION

Abstract The advent of multiple regression analyses of natural selection has facilitated estimates of both the direct and indirect effects of selection on many traits in numerous organisms. However, low power in selection studies has possibly led to a bias in our assessment of the levels of selection shaping natural populations. Using calculations and simulations based on the statistical properties of selection coefficients, we find that power to detect total selection (the selection differential) depends on sample size and the strength of selection relative to the opportunity of selection. The power of detecting direct selection (selection gradients) is more complicated and depends on the relationship between the correlation of each trait and fitness and the pattern of correlation among traits. In a review of 298 previously published selection differentials, we find that most studies have had insufficient power to detect reported levels of selection acting on traits and that, in general, the power of detecting weak levels of selection is low given current study designs. We also find that potential publication bias could explain the trend that reported levels of direct selection tend to decrease as study sizes increase, suggesting that current views of the strength of selection may be inaccurate and biased upward. We suggest that studies should be designed so that selection is analyzed on at least several hundred individuals, the total opportunity of selection be considered along with the pattern of selection on individual traits, and nonsignificant results be actively reported combined with an estimate of power.
Fluoxetine and suicide: a meta-analysis of controlled trials of treatment for depression.

OBJECTIVE--A comprehensive meta-analysis of clinical trial data was performed to assess the possible association of fluoxetine and suicidality (suicidal acts and ideation). DESIGN--Retrospective analysis of pooled data from 17 double blind clinical trials in patients with major depressive disorder comparing fluoxetine (n = 1765) with a tricyclic antidepressant (n = 731) or placebo (n = 569), or both. MAIN OUTCOME MEASURES--Multiple data sources were searched to identify patients with suicidal acts. Suicidal ideation was assessed with item 3 of the Hamilton depression rating scale, which systematically rates suicidality. Emergence of substantial suicidal ideation was defined as a change in the rating of this item from 0 or 1 at baseline to 3 or 4 during double blind treatment; worsening was defined as any increase from baseline; improvement was defined as a decrease from baseline at the last visit during the treatment. RESULTS--Suicidal acts did not differ significantly in comparisons of fluoxetine with placebo (0.2% v 0.2%, p = 0.494, Mantel-Haenszel adjusted incidence difference) and with tricyclic antidepressants (0.7% v 0.4%, p = 0.419). The pooled incidence of suicidal acts was 0.3% for fluoxetine, 0.2% for placebo, and 0.4% for tricyclic antidepressants, and fluoxetine did not differ significantly from either placebo (p = 0.533, Pearson's chi 2) or tricyclic antidepressants (p = 0.789). Suicidal ideation emerged marginally significantly less often with fluoxetine than with placebo (0.9% v 2.6%, p = 0.094) and numerically less often than with tricyclic antidepressants (1.7% v 3.6%, p = 0.102). The pooled incidence of emergence of substantial suicidal ideation was 1.2% for fluoxetine, 2.6% for placebo, and 3.6% for tricyclic antidepressants. The incidence was significantly lower with fluoxetine than with placebo (p = 0.042) and tricyclic antidepressants (p = 0.001). Any degree of worsening of suicidal ideation was similar with fluoxetine and placebo (15.4% v 17.9%, p = 0.196) and with fluoxetine and tricyclic antidepressants (15.6% v 16.3%, p = 0.793). The pooled incidence of worsening of suicidal ideation was 15.3% for fluoxetine, 17.9% for placebo, and 16.3% for tricyclic antidepressants. The incidence did not differ significantly with fluoxetine and placebo (p = 0.141) or tricyclic antidepressants (p = 0.542). Suicidal ideation improved significantly more with fluoxetine than with placebo (72.0% v 54.8%, p less than 0.001) and was similar to the improvement with tricyclic antidepressants (72.5% v 69.8%, p = 0.294). The pooled incidence of improvement of suicidal ideation was 72.2% for fluoxetine, 54.8% for placebo, and 69.8% for tricyclic antidepressants. The incidence with fluoxetine was significantly greater than with placebo (p less than 0.001) and did not differ from that with tricyclic antidepressants (p = 0.296). CONCLUSIONS--Data from these trials do not show that fluoxetine is associated with an increased risk of suicidal acts or emergence of substantial suicidal thoughts among depressed patients.
On Predicting Residual Stress and Chip Morphology in Pre-Stressed Hard Turning

To analyze AISI 52100 steel response in hard turning under pre-stressed conditions, an explicit dynamic thermo-mechanical finite element model (FEM) has been developed. The FEM adopts Johnson-Cook constitutive model to describe the workpiece material property; and Johnson-Cook failure model as chip separation criterion; a modified coulomb’s friction law determines the friction behavior at the tool/chip interface. 500MPa of tensile and compressive pre-stress are imposed on the workpiece to simulate the pre-tension-stress and pre-compression-stress conditions respectively in hard turning. The effect of pre-stress on hard turning is determined by analyzing and comparing the simulation results under the three different pr-stress conditions, in terms of saw-tooth chip morphology, cutting forces, plastic strain distribution and temperature distribution on chip, plastic strain distribution and temperature distribution in machined surface, and especially the residual stress in machined surface. It identifies hard cutting under pretension-stress condition is an effective approach to generate a beneficial compressive residual stress profile in hard turning characterized by a bigger value of compressive residual stress and a deeper penetration depth into the hard turned surface which are helpful to enhance the fatigue life of machined components.Copyright © 2010 by ASME
Towards synchronous extensible dependency grammar

Extensible Dependency Grammar (XDG; Debusmann, 2007) is a flexible, modular dependency grammar framework in which sentence analyses consist of multigraphs and processing takes the form of constraint satisfaction. This paper shows how XDG lends itself to grammar-driven machine translation and introduces the machinery necessary for synchronous XDG. Since the approach relies on a shared semantics, it resembles interlingua MT. It differs in that there are no separate analysis and generation phases. Rather, translation consists of the simultaneous analysis and generation of a single source-target “sentence”.
Image watermarking based on the space/spatial-frequency analysis and Hermite functions expansion

Abstract. An image watermarking scheme that combines Hermite functions expansion and space/spatial-frequency analysis is proposed. In the first step, the Hermite functions expansion is employed to select busy regions for watermark embedding. In the second step, the space/spatial-frequency representation and Hermite functions expansion are combined to design the imperceptible watermark, using the host local frequency content. The Hermite expansion has been done by using the fast Hermite projection method. Recursive realization of Hermite functions significantly speeds up the algorithms for regions selection and watermark design. The watermark detection is performed within the space/spatial-frequency domain. The detection performance is increased due to the high information redundancy in that domain in comparison with the space or frequency domains, respectively. The performance of the proposed procedure has been tested experimentally for different watermark strengths, i.e., for different values of the peak signal-to-noise ratio (PSNR). The proposed approach provides high detection performance even for high PSNR values. It offers a good compromise between detection performance (including the robustness to a wide variety of common attacks) and imperceptibility.
Evaluation of L-lactate and cardiac troponin I in horses undergoing emergency abdominal surgery.

OBJECTIVE To evaluate changes in plasma cardiac troponin I (cTnI) and L-lactate (LLt) as prognostic indicators in horses undergoing emergency abdominal surgery. DESIGN Prospective observational study. SETTING Veterinary teaching hospital. ANIMALS Thirty-four horses undergoing emergency abdominal surgery. INTERVENTIONS Serial blood sampling during various times during hospitalization (hospital admission, and 12, 24, 48, and 72 h postoperatively) evaluating cTnI and LLt concentrations. MEASUREMENTS AND MAIN RESULTS All horses required surgery for correction of a strangulating (n = 29) or nonstrangulating obstruction (n = 5) of the small or large intestine. Twenty-seven horses survived to discharge; 7 were euthanized either during (n = 1) or after (n = 6) surgery due to disease severity or systemic complications associated with the primary gastrointestinal lesion. Preoperative cTnI concentrations were increased above the normal reference interval in 24% of horses (8/34, median = 0.01 ng/mL, range = 0-12.23 ng/mL), whereas LLt concentrations were increased above the normal reference interval in 88% of horses (30/34, median = 3.37 mmol/L, range = 0.77-13.26 mmol/L). The LLt concentration was significantly higher (P < 0.05) in nonsurviving compared with surviving horses at admission, and at 24 and 72 hours postoperatively. No significant difference in the cTnI concentration was detected between groups at admission. However, the cTnI concentration was significantly higher (P<0.05) in nonsurviving compared with surviving horses at all time points postoperatively. CONCLUSIONS Measurement of both LLt and cTnI concentrations may provide information for prognostication in surgical colic horses. Marked increases in admission concentrations of LLt (median 7.56 mmol/L) and even moderate postoperative increases in cTnI concentration (median 0.97 ng/mL) may both indicate a poor prognosis in critically ill horses following abdominal surgery.
The use of spike-based representations for hardware audition systems

Humans are able to process speech and other sounds effectively in adverse environments, hearing through noise, reverberation, and interference from other speakers. To date, machines have been unable to match human performance. One profound difference between biological and engineering systems comes at the input stage. In machines, an acoustic signal is typically chopped into short equally spaced segments in time. In biological systems, the cochlea outputs asynchronous spikes that respond in real-time to acoustic inputs. In this paper we describe a spiking cochlea implementation and recent experiments in both speaker and speech recognition that use spikes as input.
The Optical Gravitational Lensing Experiment. The OGLE-III Catalog of Variable Stars. I. Classical Cepheids in the Large Magellanic Cloud

We present the first part of a new catalog of variable stars (OIII-CVS) compiled from the data collected in the course of the third phase of the Optical Gravitational Lensing Experiment (OGLE-III). In this paper we describe the catalog of 3361 classical Cepheids detected in the ~40 square degrees area in the Large Magellanic Cloud. The sample consists of 1848 fundamental-mode (F), 1228 first-overtone (1O), 14 second-overtone (2O), 61 double-mode F/1O, 203 double-mode 1O/2O, 2 double-mode 1O/3O, and 5 triple-mode classical Cepheids. This sample is supplemented by the list of 23 ultra-low amplitude variable stars which may be Cepheids entering or exiting instability strip. The catalog data include VI high-quality photometry collected since 2001, and for some stars supplemented by the OGLE-II photometry obtained between 1997 and 2000. We provide basic parameters of the stars: coordinates, periods, mean magnitudes, amplitudes and parameters of the Fourier light curve decompositions. Individual objects of particular interest are discussed, including single-mode second-overtone Cepheids, multiperiodic pulsators with unusual period ratios or Cepheids in eclipsing binary systems. We discuss the variations of the Fourier coefficients with periods and point out on the sharp feature for periods around 0.35 days of first-overtone Cepheids, which can be explained by the occurrence of 2:1 resonance between the first and fifth overtones. Similar behavior at P=3 days for 1O Cepheids and P=10 days for F Cepheids are also interpreted as an effect of resonances between two radial modes. We fit the period-luminosity relations to our sample of Cepheids and compare these functions with previous determinations.
Llull and Copeland Voting Computationally Resist Bribery and Control

The only systems previously known to be resistant to all the standard control types were highly artificial election systems created by hybridization. We study a parameterized version of Copeland voting, denoted by Copeland^\alpha, where the parameter \alpha is a rational number between 0 and 1 that specifies how ties are valued in the pairwise comparisons of candidates. We prove that Copeland^{0.5}, the system commonly referred to as "Copeland voting," provides full resistance to constructive control, and we prove the same for Copeland^\alpha, for all rational \alpha, 0 < \alpha < 1. Copeland voting is the first natural election system proven to have full resistance to constructive control. We also prove that both Copeland^1 (Llull elections) and Copeland^0 are resistant to all standard types of constructive control other than one variant of addition of candidates. Moreover, we show that for each rational \alpha, 0 \leq \alpha \leq 1, Copeland^\alpha voting is fully resistant to bribery attacks, and we establish fixed-parameter tractability of bounded-case control for Copeland^\alpha. We also study Copeland^\alpha elections under more flexible models such as microbribery and extended control and we integrate the potential irrationality of voter preferences into many of our results.
Proximity is not a proxy for parentage in an animal-dispersed Neotropical canopy palm

We used parentage analysis to estimate seedling recruitment distances and genetic composition of seedling patches centred around reproductive trees of the animal-dispersed Neotropical canopy palm Iriartea deltoidea in two 0.5 ha plots within second-growth forest and one 0.5 ha plot in adjacent old-growth forest at La Selva Biological Field Station in north-eastern Costa Rica. Seedlings were significantly spatially aggregated in all plots, but this pattern was not due to dispersal limitation. More than 70 per cent of seedlings were dispersed at least 50 m from parent trees. Few seedlings were offspring of the closest reproductive trees. Seedling patches observed beneath reproductive trees originate from dozens of parental trees. Observed patterns of seedling distribution and spatial genetic structure are largely determined by the behaviour of vertebrate seed dispersers rather than by spatial proximity to parental trees.