Here we restrict our investigation to SST, sea ice, and wind speeds. Pressure plays a modest role in the air–sea flux and the differences among the reanalysis products is relatively small. Wind stresses are critical drivers of the circulation patterns and vertical processes, but they operate in complex ways and much of their influence is reflected in the

SST. Beginning with the high latitudes, the Antarctic basin exhibits a very large range of estimated fluxes from the different reanalysis products (Fig. 5), with NCEP2 producing a much lower sink than the other reanalyses. The NCEP2 check details reanalysis coincidentally has the highest SST (>1 °C higher than the lowest from ECMWF), and the highest wind speeds (1.4 m s−1 higher than the lowest, represented by NCEP1), as seen in Fig. 6. The higher temperature from NCEP2 coupled with stronger winds is consistent with stronger outgassing of CO2 in the Antarctic, which would produce a reduced basin scale sink, as observed here. In Natural Product Library concentration the northern high latitudes, MERRA forcing produces the weakest sinks, which correspond with relatively low wind speeds (Fig. 9). MERRA

winds are >1 m s−1 lower than the highest winds in both the North Pacific and North Atlantic. These low winds in MERRA are consistent with reduced exchange of pCO2 with the atmosphere and result in reduced sinks of atmospheric carbon. The relatively Dimethyl sulfoxide high SST of MERRA may also play a role in weakening the North Atlantic fluxes. Similarly, we note that the strongest sinks in the North Atlantic are produced by NCEP2 and NCEP1. NCEP2 has the strongest winds, while NCEP1 has the lowest SST’s.

The tropical basins produce the largest range in air–sea carbon fluxes among the 4 reanalysis products (Fig. 5 and Fig. 6). The most notable divergences are NCEP2 (strongest source) and MERRA (weakest source) in the Equatorial Pacific. NCEP2 SST and wind speeds are both the largest of the reanalyses (Fig. 10). NCEP2 SST is >1 °C higher than the lowest (ECMWF, although NCEP1 and MERRA are consistent to within 0.03 °C), and NCEP2 wind speed is 0.9 m s−1 higher than the lowest, represented by NCEP1. These high SST’s and wind speeds can be associated with stronger outgassing as observed in the fluxes. The converse is true as well: NCEP1’s and MERRA’s weaker winds produce lower fluxes, despite high pCO2 than the data (Fig. 7). A similar series of observations occur in the Equatorial Atlantic, with NCEP2’s stronger representation of a source to the atmosphere (Fig. 5) is associated with the highest SST and wind speed (Fig. 10).

The excitation

RF pulse was simultaneously outputted from eight RF coils, and nuclear magnetization of water in PEM was excited. Then, the RF coil received a NMR signal, which is modulated to two waveform components (SI, SQ) which intersect perpendicularly by quadrature detection in a detector. Eight NMR signals are received with eight coils and detected as 16 waveform elements by the modulators. The 16 waveform elements were simultaneously selleck screening library acquired using 16 AD converter units, and they were stored in the PC through the AD converter. A permanent magnet with a field strength of about 1.0 T and a central air gap of 100 mm was used in this system. The size of the resulting magnetic field, with a field strength that is uniform within ±50 ppm, is about ∅50 mm. The permanent magnet was designed and produced by NEOMAX Engineering, Ltd. A PEFC and RF coils were inserted in the central part of the magnet. A spin echo sequence was used to acquire a NMR signal. The measurement conditions of the spin echo signal are as follows, and as shown in Fig. 4. The shape of the 90° excitation selleck compound pulse was a rectangle wave at a

frequency of 43 MHz and a pulse width of 40 μs. The 180° pulse used for spin echo measurements was a rectangle wave of 80 μs width. The spin echo time TE was 10 ms. A magnetic field gradient was applied over 1.5 ms in order to attenuate the FID signal. The sampling rate and the number of data points of the AD converter for acquiring the spin echo signal were 20 μs and 2048 points, respectively. The NMR signal was acquired for 40.96 ms. Since

the T1 relaxation time of the PEM at a temperature of 70 °C and a relative humidity of 60% was about 870 ms, the repetition time of a signal acquisition TR was 4 s. In order to acquire a large NMR signal from a relatively small target measurement area using stiripentol the planar surface coil, it is necessary to adjust the amplitude of the excitation pulse appropriately. The relation between the amplitude of the excitation pulse and the echo signal intensity was obtained by analyzing numerically the spatial distributions of the magnetic field induced around the planar surface coil and of the flip angle of nuclear magnetization in order to adjust the excitation pulse to suitable amplitude [15]. The analytical result showed that the flip angle of nuclear magnetization at the center of the coil would become 90° when the amplitude of the excitation pulse is made slightly smaller than the amplitude which reaches the maximum echo signal intensity. Based on the analytical result, the flip angle was adjusted to 90°. A standard PEFC with the structure shown in Fig. 5a and Fig. 5b was used in this research. The area of the PEFC that generates electric power was 50 mm × 50 mm. Hydrogen gas and air were supplied through serpentine type gas channels carved on the separators in that area.

On one view, intention

to act is a perception-like experience that occurs when activity within frontal motor networks exceeds a threshold level (Fried et al., 2011, Hallett, 2007 and Matsuhashi and Hallett, 2008). On this view, the increased level of “motor noise” in GTS might require a more conservative threshold for detecting volition, in order to avoid excessive sensitivity to noise. This increased threshold would in turn produce delays in the perceived urge to move (Hallett, 2007) (see Fig. 1). This view therefore predicts that tic parameters should correlate with mean W judgement. Studies of developmental tic disorders could therefore find protocol potentially clarify the processes whereby voluntary control emerges from the wider noise of involuntary sensorimotor activity, and becomes a characteristic cognitive and phenomenological event. In particular, we speculated that the experience of volition in GTS could resemble a perception-like signal selleckchem detection process, rather than a post hoc explanation of actions. Investigating this hypothesis would also provide an important

window into the learning process assumed to underlie the normal development of capacity for voluntary action. We therefore tested the experience of volition in 27 adolescents with GTS, and 30 healthy volunteers, using a cross-sectional design. We hypothesised that high levels of tics would be associated with delays in the normal experience of volition, because the characteristic neural activities that signal

one’s own volition would be lost in motor noise, delaying awareness of one’s own intentions. As a control for non-specific features of the task unrelated to volition, patients and controls also judged the perceived time of the keypress action itself. Twenty-seven adolescents (21 male) diagnosed with GTS aged between 10 and 17 years (mean age 13.7 years ± 2.3 SD) were recruited from the GTS outpatient clinic in the Department of Neurology, University Medical Center Hamburg-Eppendorf (clinical characteristics given in Supplementary Table 1). In two cases we were unable to collect scores on all clinical tests, so only 25 patients could be included in correlation analyses. The control group comprised 30 age-matched healthy control subjects (16 male, mean age 13 years ± 2.2 SD; range 10–17). All subjects and their parents gave their written informed consent C59 prior to study participation. The study was performed in accordance with the Declaration of Helsinki and was approved by the local ethics committee (PV4049). All subjects underwent a thorough clinical assessment (A.M., C.G.) based on a semi-structured neuropsychiatric interview adapted from Robertson and Eapen (Robertson & Eapen, 1996). DSM-IV-TR criteria were used for a diagnosis of GTS (American Psychiatric Association, 2000). Tic severity was determined using the Yale Global Tic Severity Scale (YGTSS) (Leckman et al., 1989) and the Modified Rush Video Scale (MRVS) (Goetz, Pappert, Louis, Raman, & Leurgans, 1999).