Digital Detection of Oxide Breakdown and Life-Time Extension in Submicron CMOS Technology

An approach is introduced to extend the lifetime of high-voltage analog circuits in CMOS technologies based on redundancy, like that known for DRAMS. A large power transistor is segmented into N smaller ones in parallel. If a sub-transistor is broken, it is removed automatically from the compound transistor. The principleis demonstrated in an RF CMOS Power Amplifier (PA) in standard 1.2V 90nm CMOS

Double resonant absorption measurement of acetylene symmetric vibrational states probed with cavity ring down spectroscopy

A novel mid-infrared/near-infrared double resonant absorption setup for studying infrared-inactive vibrational states is presented. A strong vibrational transition in the mid-infrared region is excited using an idler beam from a singly resonant continuous-wave optical parametric oscillator, to populate an intermediate vibrational state. High output power of the optical parametric oscillator and the strength of the mid-infrared transition result in efficient population transfer to the intermediate state, which allows measuring secondary transitions from this state with a high signal-to-noise ratio. A secondary, near-infrared transition from the intermediate state is probed using cavity ring down spectroscopy, which provides high sensitivity in this wavelength region. Due to the narrow linewidths of the excitation sources, the rovibrational lines of the secondary transition are measured with sub-Doppler resolution. The setup is used to access a previously unreported symmetric vibrational state of acetylene, $\nu_1+\nu_2+\nu_3+\nu_4^1+\nu_5^{-1}$ in the normal mode notation. Single-photon transitions to this state from the vibrational ground state are forbidden. Ten lines of the newly measured state are observed and fitted with the linear least-squares method to extract the band parameters. The vibrational term value was measured to be at 9775.0018(45) $\text{cm}^{-1}$, the rotational parameter $B$ was 1.162222 $\text{cm}^{-1}$, and the quartic centrifugal distortion parameter $D$ was 3.998(62)$\times 10^{-6} \text{cm}^{-1}$, where the numbers in the parenthesis are one-standard errors in the least significant digits

Superfluidity in a Doped Helium Droplet

Path Integral Monte Carlo calculations of the superfluid density throughout ^4He droplets doped with linear impurities (HCN)_n are presented. After deriving a local estimator for the superfluid density distribution, we find a decreased superfluid response in the first solvation layer. This effective normal fluid exhibits temperature dependence similar to that of a two-dimensional helium system.Comment: 4 pages, 6 figure

A superfluid hydrodynamic model for the enhanced moments of inertia of molecules in liquid 4He

We present a superfluid hydrodynamic model for the increase in moment of inertia, $\Delta I$, of molecules rotating in liquid $^4$He. The static inhomogeneous He density around each molecule (calculated using the Orsay-Paris liquid $^4$He density functional) is assumed to adiabatically follow the rotation of the molecule. We find that the $\Delta I$ values created by the viscousless and irrotational flow are in good agreement with the observed increases for several molecules [ OCS, (HCN)$_2$, HCCCN, and HCCCH$_3$ ]. For HCN and HCCH, our model substantially overestimates $\Delta I$. This is likely to result from a (partial) breakdown of the adiabatic following approximation.Comment: 4 pages, 1 eps figure, corrected version of published paper. Erratum has been submitted for change

Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN

A morph is a combination of two separate facial images and contains identity information of two different people. When used in an identity document, both people can be authenticated by a biometric Face Recognition (FR) system. Morphs can be generated using either a landmark-based approach or approaches based on deep learning such as Generative Adversarial Networks (GAN). In a recent paper, we introduced a \emph{worst-case} upper bound on how challenging morphing attacks can be for an FR system. The closer morphs are to this upper bound, the bigger the challenge they pose to FR. We introduced an approach with which it was possible to generate morphs that approximate this upper bound for a known FR system (white box), but not for unknown (black box) FR systems. In this paper, we introduce a morph generation method that can approximate worst-case morphs even when the FR system is not known. A key contribution is that we include the goal of generating difficult morphs \emph{during} training. Our method is based on Adversarially Learned Inference (ALI) and uses concepts from Wasserstein GANs trained with Gradient Penalty, which were introduced to stabilise the training of GANs. We include these concepts to achieve similar improvement in training stability and call the resulting method Wasserstein ALI (WALI). We finetune WALI using loss functions designed specifically to improve the ability to manipulate identity information in facial images and show how it can generate morphs that are more challenging for FR systems than landmark- or GAN-based morphs. We also show how our findings can be used to improve MIPGAN, an existing StyleGAN-based morph generator

Cognitive-behavior therapy for children and adolescents with anxiety disorders:A meta-analysis of secondary outcomes

Anxiety-focused cognitive-behavioral therapy (CBT) effectively reduces anxiety in children and adolescents. An important remaining question is to what extent anxiety-focused CBT also affects broader outcome domains. Additionally, it remains unclear whether parental involvement in treatment may have impact on domains other than anxiety. A meta-analysis (nstudies = 42, nparticipants = 3239) of the effects of CBT and the moderating role of parental involvement was conducted on the following major secondary outcomes: depressive symptoms, externalizing behaviors, general functioning, and social competence. Randomized controlled trials were included when having a waitlist or active control condition, a youth sample (aged<19) with a primary anxiety disorder diagnosis receiving anxiety-focused CBT and reported secondary outcomes. Controlled effect sizes (Cohen's d) were calculated employing random effect models. CBT had a large effect on general functioning (-1.25[-1.59;0.90], nstudies = 17), a small to moderate effect on depressive symptoms (-0.31[-0.41;-0.22], nstudies = 31) and a small effect on externalizing behaviors (-0.23[-0.38;-0.09], nstudies = 12) from pre-to post-treatment. Effects remained or even further improved at follow-up. Social competence only improved at follow-up (nstudies = 6). Concluding, anxiety-focused CBT has a positive effect on broader outcome domains than just anxiety. Higher parental involvement seemed to have beneficial effects at follow-up, with improvements in general functioning and comorbid symptoms