653 research outputs found
Photon-assisted electron transmission resonance through a quantum well with spin-orbit coupling
Using the effective-mass approximation and Floquet theory, we study the
electron transmission over a quantum well in semiconductor heterostructures
with Dresselhaus spin-orbit coupling and an applied oscillation field. It is
demonstrated by the numerical evaluations that Dresselhaus spin-orbit coupling
eliminates the spin degeneracy and leads to the splitting of asymmetric
Fano-type resonance peaks in the conductivity. In turn, the splitting of
Fano-type resonance induces the spin- polarization-dependent electron-current.
The location and line shape of Fano-type resonance can be controlled by
adjusting the oscillation frequency and the amplitude of external field as
well. These interesting features may be a very useful basis for devising
tunable spin filters.Comment: 10pages,4figure
Vibration Measurements of Clinched Joints
AbstractAs a result of the trend towards lightweight construction in sustainable manufacturing, there has been a significant increase in the use of clinched joints in engineering structures and components. Mechanical structures assembled by clinching are expected to possess a high damping capacity. The aim of this paper is to provide an experimental measurement technique for the investigation of the forced vibration behavior of clinched joints. The dynamic test software and the data acquisition hardware were used in the experimental measurement of the dynamic response of the clinched joints. The frequency response functions of the clinched joints of different clinching point number were measured and compared
Criteria of efficiency for conformal prediction
We study optimal conformity measures for various criteria of efficiency of
classification in an idealised setting. This leads to an important class of
criteria of efficiency that we call probabilistic; it turns out that the most
standard criteria of efficiency used in literature on conformal prediction are
not probabilistic unless the problem of classification is binary. We consider
both unconditional and label-conditional conformal prediction.Comment: 31 page
Atomic and electronic structures of single-layer FeSe on SrTiO3(001): The role of oxygen deficiency
Using first-principles calculation, we propose an interface structure for single triple-layer FeSe on the SrTiO3(001) surface, a high-Tc superconductor found recently. The key component of this structure is the oxygen deficiency on the top layer of the SrTiO3 substrate, as a result of Se etching used in preparing the high-Tc samples. The O vacancies strongly bind the FeSe triple layer to the substrate giving rise to a (2 x 1) reconstruction, as observed by scanning tunneling microscopy. The enhanced binding correlates to the significant increase of Tc observed in experiment. The O vacancies also serve as the source of electron doping, which modifies the Fermi surface of the first FeSe layer by filling the hole pocket near the center of the surface Brillouin zone, as suggested from angle-resolved photoemission spectroscopy measurement
Clinical significance of serum lipids in idiopathic pulmonary alveolar proteinosis
<p>Abstract</p> <p>Background</p> <p>It is well known that pulmonary alveolar proteinosis(PAP) is characterised by accumulation of surfactant lipids and proteins within airspaces. However, few previous data describe the serum lipid levels associated with PAP.</p> <p>Materials and methods</p> <p>We retrospectively reviewed 25 patients with idiopathic PAP(iPAP). The serum lipid levels of patients with idiopathic PAP were compared with those of the healthy volunteers. In patients and healthy subjects, the LDL-C/HDL-C ratios were 2.94 ± 1.21 and 1.60 ± 0.70, respectively (<it>p </it>< 0.001), HDL-C were 1.11 ± 0.27 and 1.71 ± 0.71 respectively (<it>p </it>< 0.001). The values of LDL-C correlated significantly with those of PaO2 and P<sub>A-a</sub>O2 (r = -0.685, <it>p </it>= 0.003, and r = 0.688, <it>p </it>= 0.003, respectively). The values of LDL-C/HDL-C ratios also correlated with PaO2 levels and PA-aO2 levels (r = -0.698, p = 0.003, and r = 0.653, p = 0.006, respectively). 11 and 13 patients experienced respectively a decline in TC and LDL-C levels following whole lung lavage(WLL), the median decline was 0.71 mmol/L(<it>p </it>< 0.009) and 0.47 mmol/L(<it>p </it>< 0.003), respectively.</p> <p>Conclusions</p> <p>the serum lipid levels, especially the levels of LDL-C and LDL-C/HDL-C, may reflect the severity of the disease in PAP patients, and predict the therapeutic effect of WLL.</p
Observation of Coulomb blockade and Coulomb staircases in superconducting Pr0.8Sr0.2NiO2 films
Motivated by the discovery of superconductivity in the infinite-layer
nickelate family, we report an experimental endeavor to clean the surface of
nickelate superconductor Pr0.8Sr0.2NiO2 films by Ar+ ion sputtering and
subsequent annealing, and we study their electronic structures by cryogenic
scanning tunneling microscopy and spectroscopy. The annealed surfaces are
characterized by nano-sized clusters and Coulomb staircases with periodicity
inversely proportional to the projected area of the nanoclusters, consistent
with a double-barrier tunneling junction model. Moreover, the dynamical Coulomb
blockade effects are observed and result in well-defined energy gaps around the
Fermi level, which correlate closely with the specific configuration of the
junctions. These Coulomb blockade-related phenomena provide an alternative
plausible cause of the observed gap structure that should be considered in the
spectroscopic understanding of nickelate superconductors with the
nano-clustered surface.Comment: 7 pages, 5 figure
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Resilience-Constrained Economic Dispatch for Blackout Prevention
Department of Finance and Education of Guangdong Province 2016[202]: Key Discipline Construction Programme, China, in part by the Education Department of Guangdong Province: New and Integrated Energy System Theory and Technology Research Group Grant 2016KCXTD022; NSF China under Grant 51707041; State Grid Technology Project Grant 5211011600RJ; Foundation for Distinguished Young Talents in Higher Education of Guangdong under Grant 2016KQNCX045 and 2016KCXTD022)
Estimation of Absolute States of Human Skeletal Muscle via Standard B-Mode Ultrasound Imaging and Deep Convolutional Neural Networks
Objective: To test automated in vivo estimation of active and passive skeletal muscle states using ultrasonic imaging. Background: Current technology (electromyography, dynamometry, shear wave imaging) provides no general, non-invasive method for online estimation of skeletal muscle states. Ultrasound (US) allows non-invasive imaging of muscle, yet current computational approaches have never achieved simultaneous extraction nor generalisation of independently varying, active and passive states. We use deep learning to investigate the generalizable content of 2D US muscle images. Method: US data synchronized with electromyography of the calf muscles, with measures of joint moment/angle were recorded from 32 healthy participants (7 female, ages: 27.5, 19-65). We extracted a region of interest of medial gastrocnemius and soleus using our prior developed accurate segmentation algorithm. From the segmented images, a deep convolutional neural network was trained to predict three absolute, driftfree, components of the neurobiomechanical state (activity, joint angle, joint moment) during experimentally designed, simultaneous, independent variation of passive (joint angle) and active (electromyography) inputs. Results: For all 32 held-out participants (16-fold cross-validation) the ankle joint angle, electromyography, and joint moment were estimated to accuracy 55±8%, 57±11%, and 46±9% respectively. Significance: With 2D US imaging, deep neural networks can encode in generalizable form, the activitylength-tension state relationship of these muscles. Observation only, low power, 2D US imaging can provide a new category of technology for non-invasive estimation of neural output, length and tension in skeletal muscle. This proof of principle has value for personalised muscle assessment in pain, injury, neurological conditions, neuropathies, myopathies and ageing
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