128 research outputs found
Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment
Semantic SLAM is an important field in autonomous driving and intelligent
agents, which can enable robots to achieve high-level navigation tasks, obtain
simple cognition or reasoning ability and achieve language-based
human-robot-interaction. In this paper, we built a system to creat a semantic
3D map by combining 3D point cloud from ORB SLAM with semantic segmentation
information from Convolutional Neural Network model PSPNet-101 for large-scale
environments. Besides, a new dataset for KITTI sequences has been built, which
contains the GPS information and labels of landmarks from Google Map in related
streets of the sequences. Moreover, we find a way to associate the real-world
landmark with point cloud map and built a topological map based on semantic
map.Comment: Accepted by 2019 China Symposium on Cognitive Computing and Hybrid
Intelligence(CCHI'19
Exploring the relationship between failure-learning-based entrepreneurship education and youth entrepreneurial resilience: A mediated moderation model
Entrepreneurial failure exists objectively in the process of entrepreneurship, and the fear of entrepreneurship failure inhibits youth entrepreneurship activities to a certain extent. Thus, failure-learning-based entrepreneurship education is critical to cultivating youth entrepreneurial literacy. However, previous research on this topic has not provided a clear answer to how to improve youth entrepreneurial resilience. To explore the relationship between failure-learning-based entreprene urship education and youth entrepreneurial resilience, using the questionnaire data of 399 youth recruited from China in October 2021 via the Credamo platform, the multiple regression analysis, and the Bootstrap method, we empirically analyzed the impact of failure-learning-based entrepreneurship education on youth entrepreneurial resilience, as well as the mediating effect of entrepreneurial cognition and the moderating effect of the fault-tolerant environment on the above relationship. The results show that failure-learning-based entrepreneurship education has a significant positive impact on youth entrepreneurial resilience. The two dimensions of willingness cognition and ability cognition in entrepreneurial cognition have a complete mediating effect on the impact of failure-learning-based entrepreneurship education on youth entrepreneurial resilience while the mediating effect of arrangements cognition is not significant. The fault-tolerant environment positively moderates the impact of failure-learning-based entrepreneurship education on entrepreneurial resilience, and its moderating effect is transmitted through the mediating effect of willingness cognition and ability cognition. A strong fault-tolerant environment enhances the impact of failure-learning-based entrepreneurship education on the formation of youth rational cognition, through the mediating effect of willing cognition and ability cognition, which further strengthens the positive impact on youth entrepreneurial
Characterization of protein-protein interactions between the nucleocapsid protein and membrane protein of the avian infectious bronchitis virus
Avian infectious bronchitis virus (IBV) is one of the major viral respiratory diseases of chickens. Better understanding of the molecular mechanism of viral pathogenesis may contribute significantly to the development of prophylactic, therapeutic and diagnostic reagents as well as help in infection control. Avian IBV belongs to the Coronaviridaes and is similar to the other known coronaviruses. Previous studies have indicated that protein–protein interactions between nucleocapsid (N) and the membrane (M) proteins in coronavirus are related to coronavirus viral assembly. However, cases of IBV are seldom reported. In this study, yeast two-hybrid and co-immunoprecipitation techniques were applied to investigate possible interactions between IBV N and M proteins. We found that interaction of the N and M proteins took place in vivo and the residues 168 – 225 of the M protein and the residues 150 - 210 of the N protein were determined to be involved in their interaction. These results may provide some useful information on the molecular mechanism of IBV’s N and M proteins, which will facilitate therapeutic strategies aiming at the disruption of the association between membrane and nucleocapsid proteins and indicate a new drug target for IBV.Key words: Co-immunoprecipitation, membrane protein, nucleocapsid protein, protein-protein interaction, yeast two-hybrid
Combined repetitive transcranial magnetic stimulation and gut microbiota modulation through the gut–brain axis for prevention and treatment of autism spectrum disorder
Autism spectrum disorder (ASD) encompasses a range of neurodevelopmental conditions characterized by enduring impairments in social communication and interaction together with restricted repetitive behaviors, interests, and activities. No targeted pharmacological or physical interventions are currently available for ASD. However, emerging evidence has indicated a potential association between the development of ASD and dysregulation of the gut-brain axis. Repetitive transcranial magnetic stimulation (rTMS), a noninvasive diagnostic and therapeutic approach, has demonstrated positive outcomes in diverse psychiatric disorders; however, its efficacy in treating ASD and its accompanying gastrointestinal effects, particularly the effects on the gut–brain axis, remain unclear. Hence, this review aimed to thoroughly examine the existing research on the application of rTMS in the treatment of ASD. Additionally, the review explored the interplay between rTMS and the gut microbiota in children with ASD, focusing on the gut-brain axis. Furthermore, the review delved into the integration of rTMS and gut microbiota modulation as a targeted approach for ASD treatment based on recent literature. This review emphasizes the potential synergistic effects of rTMS and gut microbiota interventions, describes the underlying mechanisms, and proposes a potential therapeutic strategy for specific subsets of individuals with ASD
Phased Geometric Controls of V-Shaped Three-Level System for Zero-field Quantum Sensing
Here we propose and demonstrate a phased geometric control protocol for
zero-field double quantum gates in a V-shaped three-level spin system. This
method utilizes linearly polarized microwave pulses and exploits the geometric
qubit properties to prevent state leakage. By employing specific phased
geometric controls, we realize a low-power multi-pulse zero-field sensing
technique using single nitrogen-vacancy centers in diamond. Our method offers a
novel approach to implement precise double quantum gate operations with an
adaptable driving power, making it a valuable tool for zero-field spin-based
quantum technology
In situ electron paramagnetic resonance spectroscopy using single nanodiamond sensors
An ultimate goal of electron paramagnetic resonance (EPR) spectroscopy is to
analyze molecular dynamics in place where it occurs, such as in a living cell.
The nanodiamond (ND) hosting nitrogen-vacancy (NV) centers will be a promising
EPR sensor to achieve this goal. However, ND-based EPR spectroscopy remains
elusive, due to the challenge of controlling NV centers without well-defined
orientations inside a flexible ND. Here, we show a generalized zero-field EPR
technique with spectra robust to the sensor's orientation. The key is applying
an amplitude modulation on the control field, which generates a series of
equidistant Floquet states with energy splitting being the
orientation-independent modulation frequency. We acquire the zero-field EPR
spectrum of vanadyl ions in aqueous glycerol solution with embedded single NDs,
paving the way towards \emph{in vivo} EPR
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