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Detecting, identifying, and recognizing salient regions or feature points in images is a very important and fundamental problem to the computer vision and robotics community. Tasks like landmark detection and visual odometry, but also object recognition benefit from stable and repeatable salient features that are invariant to a variety of effects like(More)
Two experiments were designed to determine if pregnant and lactating rats are differentially attracted to their own bedding at various stages of the reproductive cycle and whether they will discriminate between their own nest materials and those of virgins and other lactating animals. We found that from just before birth until the second week postpartum,(More)
The electromagnetic calorimeter at the BABAR detector, part of the asymmetric B Factory at SLAC, measures photons in the energy range from 20 MeV to 8 GeV with high resolution. The current status of the calorimeter, now in its seventh year of operation, is being presented, as well as details on improvements made to the analysis code during the last years.(More)
In this paper, we document the overhead in terms of runtime, firmware size, communication and energy consumption for Elliptic Curve Cryptography (ECC) signatures of modern ARM-based constrained devices. The experiments we have undertaken show that the cryptographic capabilities of the investigated Zolertia Re-Mote based on a TI's CC2538 chipset running(More)
Hydrogen sulphide (H2S) is an endogenous mediator of human health and disease, but precise measurement in living cells and animals remains a considerable challenge. We report the total chemical synthesis and characterization of three 1,2-dioxetane chemiluminescent reaction-based H2S probes, CHS-1, CHS-2, and CHS-3. Upon treatment with H2S at physiological(More)
We show that information on the probability density of local fluctuations can be obtained from a numerical renormalization group calculation of a reduced density matrix. We apply this approach to the Anderson-Holstein impurity model to calculate the ground state probability density ρ(x) for the displacement x of the local oscillator. From this density we(More)
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