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The nitrocatechol derivatives tolcapone (1) and entacapone (2), used as adjunctive therapy in the treatment of Parkinson's disease, were investigated for their potential to inhibit the tau-derived-hexapeptide 306VQIVYK311. They were compared to small molecules that contain similar pharmacophores including the catechol derivatives (dopamine 3 and epinephrine(More)
We propose a new remote multimodal biometric authentication framework based on fragile watermarking for transferring multi-biometrics over networks to server for authentication. A facial image is used as a container to embed other numeric biometrics features. The proposed framework enhances security and reduces bandwidths. In order to reduce error rates(More)
In this paper, we propose a multi-biometrics authentication system based on our proposed priority-based watermarking method. We investigate how watermarking techniques affect the container, which is facial image used in further authentication steps. We conduct experiments on facial and fingerprint features using both priority-based watermarking method and(More)
Mitochondrial inner membrane uncoupling proteins (UCPs) facilitate transmembrane (TM) proton flux and consequently reduce the membrane potential and ATP production. It has been proposed that the three neuronal human UCPs (UCP2, UCP4 and UCP5) in the central nervous system (CNS) play significant roles in reducing cellular oxidative stress. However, the(More)
Surgical and simulation development have always been closely associated with military activity. The last ten years have continued that trend, allowing for training in real time, under reality-based conditions, learning technical and clinical skills with the dynamic of true human factors and team training in the actual environment. We present data from(More)
We propose a novel approach to improve unsupervised hash-ing. Specifically, we propose an embedding method to enhance the discriminative property of features before passing them into hashing. We propose a very efficient embedding method: Gaussian Mixture Model embedding (Gemb). Gemb embeds feature vector into a low-dimensional vector using Gaussian Mixture(More)
This paper proposes a general aggregate model for improving performance of multi-class Brain-Computer Interface (BCI) systems. In BCI systems, activation and delay are well known issues in conducting experiments. The delay of meaningful brain signal depends on subjects, tasks and experimental design. Therefore, within a trial it is not easy to identify(More)
The Arabidopsis thaliana protein atTic20 is a key component of the protein import machinery at the inner envelope membrane of chloroplasts. As a component of the TIC complex, it is believed to form a preprotein-conducting channel across the inner membrane. We report a method for producing large amounts of recombinant atTic20 using a codon-optimized strain(More)