FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation

Facial expression analysis based on machine learning requires large number of well-annotated data to reflect different changes in facial motion. Publicly available datasets truly help to accelerate research in this area by providing a benchmark resource, but all of these datasets, to the best of our knowledge, are limited to rough annotations for action units, including only their absence, presence, or a five-level intensity according to the Facial Action Coding System. To meet the need for videos labeled in great detail, we present a well-annotated dataset named FEAFA for Facial Expression Analysis and 3D Facial Animation. One hundred and twenty-two participants, including children, young adults and elderly people, were recorded in real-world conditions. In addition, 99,356 frames were manually labeled using Expression Quantitative Tool developed by us to quantify 9 symmetrical FACS action units, 10 asymmetrical (unilateral) FACS action units, 2 symmetrical FACS action descriptors and 2 asymmetrical FACS action descriptors, and each action unit or action descriptor is well-annotated with a floating point number between 0 and 1. To provide a baseline for use in future research, a benchmark for the regression of action unit values based on Convolutional Neural Networks are presented. We also demonstrate the potential of our FEAFA dataset for 3D facial animation. Almost all state-of-the-art algorithms for facial animation are achieved based on 3D face reconstruction. We hence propose a novel method that drives virtual characters only based on action unit value regression of the 2D video frames of source actors.Comment: 9 pages, 7 figure

A double neutron star merger origin for the cosmological relativistic fading source PTF11agg?

The Palomar Transient Factory (PTF) team recently reported the discovery of a rapidly fading optical transient source, PTF11agg. A long-lived scintillating radio counterpart was identified, but the search for a high energy counterpart showed negative results. The PTF team speculated that PTF11agg may represent a new class of relativistic outbursts. Here we suggest that a neutron star (NS)-NS merger system with a supra-massive magnetar central engine could be a possible source to power such a transient, if our line of sight is not on the jet axis direction of the system. These systems are also top candidates for gravitational wave sources to be detected in the advanced LIGO/Virgo era. We find that the PTF11agg data could be explained well with such a model, suggesting that at least some gravitational wave bursts due to NS-NS mergers may be associated with such a bright electromagnetic counterpart without a \gamma-ray trigger.Comment: Accepted for publication in ApJ Letter

Multi-step quantum secure direct communication using multi-particle Green-Horne-Zeilinger state

A multi-step quantum secure direct communication protocol using blocks of multi-particle maximally entangled state is proposed. In this protocol, the particles in a Green-Horne-Zeilinger state are sent from Alice to Bob in batches in several steps. It has the advantage of high efficiency and high source capacity.Comment: 4 pages and 1 figure. Revised version of Optics Communications 253 (2005(1

Azadiradione exerts anti-inflammatory and anti-oxidant effects, alleviates dopaminergic neurodegeneration and reduces α-synuclein levels in MPTP-induced mouse model of Parkinson’s disease

Purpose: To determine the effects of azadiradione (AZD), a tetracyclic triterpenoid, in 1-methyl-4- phenyl-1, 2, 3, 6-tetrahydropyridine (MPTP)–induced experimental rodent model of Parkinson’s disease (PD). Methods: C57BL/6 mice were intraperitoneally injected MPTP at a dose of 20 mg/kg body weight in saline (4 times at 2-h intervals). Azadiradione (AZD) at doses of 12.5, 25 or 50 mg/kg were administered to separate groups of mice via oral gavage for 6 days prior to MPTP injection. Results: Azadiradione (AZD) reduced loss of tyrosine hydroxylase (TH)-positive neurons. TH-positive counts increased to 91.44 % on treatment with 50 mg/kg AZD. Significantly (p < 0.05) down-regulated α-synuclein levels were seen following MPTP induction and AZD administration. Expressions of Bax, Bcl-2 and cleaved-caspase-3 were significantly downregulated (p < 0.05). Treatment with AZD inhibited the translocation of Cyt-C to the mitochondria, thereby preventing activation of apoptotic cascade. Oxidative stress induced by MPTP was significantly reduced by AZD via up-regulation of glutathione levels and SOD1/HO-1 expression. Azadiradione, at a dose of 50 mg/kg, significantly (p < 0.05) reduced ROS levels from 210.6 19.23%, and also reduced the levels of inflammatory cytokines. Conclusion: These results indicate the anti-inflammatory, anti-oxidative and neuroprotective properties of AZD in mice. Thus, AZD is a potential candidate drug for the management of PD. However, further studies are required to ascertain this