8,164 research outputs found
Anticipating Daily Intention using On-Wrist Motion Triggered Sensing
Anticipating human intention by observing one's actions has many
applications. For instance, picking up a cellphone, then a charger (actions)
implies that one wants to charge the cellphone (intention). By anticipating the
intention, an intelligent system can guide the user to the closest power
outlet. We propose an on-wrist motion triggered sensing system for anticipating
daily intentions, where the on-wrist sensors help us to persistently observe
one's actions. The core of the system is a novel Recurrent Neural Network (RNN)
and Policy Network (PN), where the RNN encodes visual and motion observation to
anticipate intention, and the PN parsimoniously triggers the process of visual
observation to reduce computation requirement. We jointly trained the whole
network using policy gradient and cross-entropy loss. To evaluate, we collect
the first daily "intention" dataset consisting of 2379 videos with 34
intentions and 164 unique action sequences. Our method achieves 92.68%, 90.85%,
97.56% accuracy on three users while processing only 29% of the visual
observation on average
2019 Overview
The CNS Neuroscience & Therapeutics provides a medium for rapid publication of original clinical, experimental, and translational research papers, timely reviews, and reports of novel findings of therapeutic relevance to the central nervous system. Its focus includes clinical pharmacology, drug development, and novel methodologies for drug evaluation in neurological and psychiatric diseases. We are pleased to announce that CNS Neuroscience & Therapeutics has become an Open‐Access Journal as of January 2019. This would allow wider dissemination of scientific knowledge and facilitate collaborative efforts toward advancing novel and solid research on the maintenance of brain homeostasis and repairing the aging and dysfunctional brain
Binary tree summation Monte Carlo simulation for Potts models
In this talk, we briefly comment on Sweeny and Gliozzi methods, cluster Monte
Carlo method, and recent transition matrix Monte Carlo for Potts models. We
mostly concentrate on a new algorithm known as "binary tree summation". Some of
the most interesting features of this method will be highlighted - such as
simulating fractional number of Potts states, as well as offering the partition
function and thermodynamic quantities as functions of temperature in a single
run.Comment: 9 pages, 2 figures, for StatPhys-Taiwan 2002 conferenc
Diverse anisotropy of phonon transport in two-dimensional IV-VI compounds: A comparative study
New classes two-dimensional (2D) materials beyond graphene, including layered
and non-layered, and their heterostructures, are currently attracting
increasing interest due to their promising applications in nanoelectronics,
optoelectronics and clean energy, where thermal transport property is one of
the fundamental physical parameters. In this paper, we systematically
investigated the phonon transport properties of 2D orthorhombic group IV-VI
compounds of , , and by solving the Boltzmann transport
equation (BTE) based on first-principles calculations. Despite the similar
puckered (hinge-like) structure along the armchair direction as phosphorene,
the four monolayer compounds possess diverse anisotropic properties in many
aspects, such as phonon group velocity, Young's modulus and lattice thermal
conductivity (), etc. Especially, the along the zigzag and
armchair directions of monolayer shows the strongest anisotropy while
monolayer and shows an almost isotropy in phonon transport. The
origin of the diverse anisotropy is fully studied and the underlying mechanism
is discussed in detail. With limited size, the could be effectively
lowered, and the anisotropy could be effectively modulated by nanostructuring,
which would extend the applications in nanoscale thermoelectrics and thermal
management. Our study offers fundamental understanding of the anisotropic
phonon transport properties of 2D materials, and would be of significance for
further study, modulation and aplications in emerging technologies.Comment: 14 pages, 8 figures, 2 table
A dual-analytes responsive fluorescent probe for discriminative detection of ClO− and N2H4 in living cells
Hydrazine (N2H4) and ClO− are very harmful for public health, hence it is important and necessary to monitor
them in living cells. Herein, we rationally designed and synthesized a dual-analytes responsive fluorescent sensor
PTMQ for distinguishing detection of N2H4 and ClO−. PTMQ underwent N2H4-induced double bond cleavage,
affording colorimetric and green fluorescence enhancement with good selectivity and a low detection limit (89
nM). On the other hand, PTMQ underwent ClO−-induced sulfur oxidation and displayed red fluorescence
lighting-up response towards ClO− with good selectivity, rapid response (<0.2 min) and a low detection limit
(58 nM). Moreover, PTMQ was successfully employed for in-situ imaging of N2H4 and ClO− in living cellsinfo:eu-repo/semantics/publishedVersio
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