5,990 research outputs found
An evaluation of culture-specific risk factors and emotion regulation strategies on psychological distress and maladaptive behaviors among Asian Americans
Cultural context is fundamental in cross-cultural conceptualizations of risk factors for mental health status among ethnic minorities. Existing studies indicate that acculturation level predicts psychological adjustment, but findings remain inconclusive. This study, consisting of university students of Asian descent, evaluated the relationship between acculturation level and internalizing/externalizing problems via the incorporation of more proximal measures of risk factors associated with acculturation (e.g., acculturative dissonance and acculturative stress). In addition, the predictive values of non-culture specific risk factors, such as emotion dysregulation and experiential avoidance, were examined. Acculturation-related stressors and difficulties with emotion regulation increased risk for maladjustment within the studyās sample. Furthermore,experiential avoidance and emotion dysregulation mediated and moderated the relationship between acculturative stress and psychological distress, respectively. The findings suggest that acculturation influences psychological adjustment through a number of factors, including acculturation-related stressors as well as emotion regulation difficulties
Progressive evolution of tunneling characteristics of in-situ fabricated intrinsic Josephson junctions in Bi_2Sr_2CaCu_2O_{8+delta} single crystals
Stacks of a few intrinsic tunnel junctions were micro-fabricated on the
surface of Bi-2212 single crystals. The number of junctions in a stack was
tailored by progressively increasing the height of the stack by ion-beam
etching, while its tunneling characteristics were measured in-situ in a vacuum
chamber for temperatures down to ~13 K. Using this in-situ etching/measurements
technique in a single piece of crystal, we systematically excluded any spurious
effects arising from variations in the junction parameters and made clear
analysis on the following properties of the surface and inner conducting
planes. First, the tunneling resistance and the current-voltage curves are
scaled by the surface junction resistance. Second, we confirm that the
reduction in both the gap and the superconducting transition temperature of the
surface conducting plane in contact with a normal metal is not caused by the
variation in the doping level, but is caused by the proximity contact. Finally,
the main feature of a junction is not affected by the presence of other
junctions in a stack in a low bias region.Comment: 25 pages, 7 figures, submitted to Phys. Rev.
Comparing Sample-wise Learnability Across Deep Neural Network Models
Estimating the relative importance of each sample in a training set has
important practical and theoretical value, such as in importance sampling or
curriculum learning. This kind of focus on individual samples invokes the
concept of sample-wise learnability: How easy is it to correctly learn each
sample (cf. PAC learnability)? In this paper, we approach the sample-wise
learnability problem within a deep learning context. We propose a measure of
the learnability of a sample with a given deep neural network (DNN) model. The
basic idea is to train the given model on the training set, and for each
sample, aggregate the hits and misses over the entire training epochs. Our
experiments show that the sample-wise learnability measure collected this way
is highly linearly correlated across different DNN models (ResNet-20, VGG-16,
and MobileNet), suggesting that such a measure can provide deep general
insights on the data's properties. We expect our method to help develop better
curricula for training, and help us better understand the data itself.Comment: Accepted to AAAI 2019 Student Abstrac
Suppressed Superconductivity of the Surface Conduction Layer in BiSrCaCuO Single Crystals Probed by {\it c}-Axis Tunneling Measurements
We fabricated small-size stacks on the surface of
BiSrCaCuO (BSCCO-2212) single crystals with the bulk
transition temperature 90 K, each containing a few intrinsic
Josephson junctions. Below a critical temperature ( ), we have
observed a weakened Josephson coupling between the CuO superconducting
double layer at the crystal surface and the adjacent one located deeper inside
a stack. The quasiparticle branch in the data of the weakened Josephson
junction (WJJ) fits well to the tunneling characteristics of a d-wave
superconductor()/insulator/d-wave superconductor (DID) junction. Also,
the tunneling resistance in the range agrees well with the
tunneling in a normal metal/insulator/d-wave superconductor (NID) junction. In
spite of the suppressed superconductivity at the surface layer the symmetry of
the order parameter appears to remain unaffected.Comment: 13 pages, 6 figure
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