38 research outputs found
Viia-hand: a Reach-and-grasp Restoration System Integrating Voice interaction, Computer vision and Auditory feedback for Blind Amputees
Visual feedback plays a crucial role in the process of amputation patients
completing grasping in the field of prosthesis control. However, for blind and
visually impaired (BVI) amputees, the loss of both visual and grasping
abilities makes the "easy" reach-and-grasp task a feasible challenge. In this
paper, we propose a novel multi-sensory prosthesis system helping BVI amputees
with sensing, navigation and grasp operations. It combines modules of voice
interaction, environmental perception, grasp guidance, collaborative control,
and auditory/tactile feedback. In particular, the voice interaction module
receives user instructions and invokes other functional modules according to
the instructions. The environmental perception and grasp guidance module
obtains environmental information through computer vision, and feedbacks the
information to the user through auditory feedback modules (voice prompts and
spatial sound sources) and tactile feedback modules (vibration stimulation).
The prosthesis collaborative control module obtains the context information of
the grasp guidance process and completes the collaborative control of grasp
gestures and wrist angles of prosthesis in conjunction with the user's control
intention in order to achieve stable grasp of various objects. This paper
details a prototyping design (named viia-hand) and presents its preliminary
experimental verification on healthy subjects completing specific
reach-and-grasp tasks. Our results showed that, with the help of our new
design, the subjects were able to achieve a precise reach and reliable grasp of
the target objects in a relatively cluttered environment. Additionally, the
system is extremely user-friendly, as users can quickly adapt to it with
minimal training
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Given a convex function , the problem of
sampling from a distribution is called log-concave
sampling. This task has wide applications in machine learning, physics,
statistics, etc. In this work, we develop quantum algorithms for sampling
log-concave distributions and for estimating their normalizing constants
. First, we use underdamped Langevin
diffusion to develop quantum algorithms that match the query complexity (in
terms of the condition number and dimension ) of analogous
classical algorithms that use gradient (first-order) queries, even though the
quantum algorithms use only evaluation (zeroth-order) queries. For estimating
normalizing constants, these algorithms also achieve quadratic speedup in the
multiplicative error . Second, we develop quantum Metropolis-adjusted
Langevin algorithms with query complexity and
for log-concave sampling and
normalizing constant estimation, respectively, achieving polynomial speedups in
over the best known classical algorithms by exploiting
quantum analogs of the Monte Carlo method and quantum walks. We also prove a
quantum lower bound for estimating normalizing constants,
implying near-optimality of our quantum algorithms in .Comment: To appear in the proceedings of NeurIPS 202
Potential of Core-Collapse Supernova Neutrino Detection at JUNO
JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve
Detection of the Diffuse Supernova Neutrino Background with JUNO
As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO
The Chinese Meaning of Just War and its Impact on the Foreign Policy of the People's Republic of China
Convenient Synthesis of 6,7,12,13-Tetrahydro-5H-Cyclohepta[2,1-b:3,4-b’]diindole Derivatives Mediated by Hypervalent Iodine (III) Reagent
Bisindolyl alkaloids represent a large family of natural and synthetic products that display various biological activities. Among the bisindole compounds, 6,7,12,13-tetrahydro-5H-cyclohepta[2,1-b:3,4-b’]diindoles have received little attention. Only two methods have been developed for the construction of the 6,7,12,13-tetrahydro-5H-cyclohepta[2,1-b:3,4-b’]diindole scaffold thus far, including the classical Fischer indole synthesis conducted by reacting indole-fused cycloheptanone and hydrazines, and the condensation reaction to build the seven-membered ring. Here, we report for the first time a new route to synthesize 6,7,12,13-tetrahydro-5H-cyclohepta[2,1-b:3,4-b’]diindoles through intramolecular oxidative coupling of 1,3-di(1H-indol-3-yl)propanes in the presence of PIFA, DDQ and TMSCl with moderate to excellent yields
Gene Coexpression Network Analysis Indicates that Hub Genes Related to Photosynthesis and Starch Synthesis Modulate Salt Stress Tolerance in Ulmus pumila
Ulmus pumila L. is an excellent afforestation and biofuel tree that produces high-quality wood, rich in starch. In addition, U. pumila is highly adaptable to adverse environmental conditions, which is conducive to its utilization for vegetating saline soils. However, little is known about the physiological responses and transcriptional regulatory network of U. pumila under salt stress. In this study, we exposed five main cultivars in saline–alkali land (Upu2, 5, 8, 11, and 12) to NaCl stress. Of the five cultivars assessed, Upu11 exhibited the highest salt resistance. Growth and biomass accumulation in Upu11 were promoted under low salt concentrations (<150 mM). However, after 3 months of continuous treatment with 150 mM NaCl, growth was inhibited, and photosynthesis declined. A transcriptome analysis conducted after 3 months of treatment detected 7009 differentially expressed unigenes (DEGs). The gene annotation indicated that these DEGs were mainly related to photosynthesis and carbon metabolism. Furthermore, PHOTOSYNTHETIC ELECTRON TRANSFERH (UpPETH), an important electron transporter in the photosynthetic electron transport chain, and UpWAXY, a key gene controlling amylose synthesis in the starch synthesis pathway, were identified as hub genes in the gene coexpression network. We identified 25 and 62 unigenes that may interact with PETH and WAXY, respectively. Overexpression of UpPETH and UpWAXY significantly increased the survival rates, net photosynthetic rates, biomass, and starch content of transgenic Arabidopsis plants under salt stress. Our findings clarify the physiological and transcriptional regulators that promote or inhibit growth under environmental stress. The identification of salt-responsive hub genes directly responsible for photosynthesis and starch synthesis or metabolism will provide targets for future genetic improvements
Numerical Approach for Studying the Evolution of the Degrees of Coherence of Partially Coherent Beams Propagation through an ABCD Optical System
In this paper, we propose a numerical approach to simulate the degree of coherence (DOC) of a partially coherent beam (PCB) with a Schell-model correlator in any transverse plane during propagation. The approach is applicable for PCBs whose initial intensity distribution and DOC distribution are non-Gaussian functions, even for beams for which it is impossible to obtain an analytical expression for the cross-spectral density (CSD) function. Based on our approach, numerical examples for the distribution of the DOC of two types of PCBs are presented. One type is the partially coherent Hermite−Gaussian beam. The simulation results of the DOC agree well with those calculated from the analytical formula. The other type of PCB is the one for which it is impossible to obtain an analytical expression of CSD. The evolution of the DOC with the propagation distance and in the far field is studied in detail. Our numerical approach may find potential applications in optical encryption and information transfer