1,113 research outputs found
Effect Equilibrium Approach in Calculating the Economic Range of a Freeway Industrial Zone
This research aims to develop a valid method to examine the relationship between transportation infrastructure and economic growth through the measurement of the economic boundary of a freeway industrial zone in developing countries. By comparing the similarities of a freeway industrial zone with an electromagnetic field, the Boit-Schwander law in electromagnetism is applied to create an electromagnetic model, which can calculate the attractive effect caused by a freeway on its influential area. When the attractive effect is equal to the traffic impedance, the economic range of the industrial zone can be determined by the effective equilibrium approach. An empirical analysis of the Ha-Shuang freeway demonstrates this approach is valid and practical
PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction
Vectorized high-definition map online construction has garnered considerable
attention in the field of autonomous driving research. Most existing approaches
model changeable map elements using a fixed number of points, or predict local
maps in a two-stage autoregressive manner, which may miss essential details and
lead to error accumulation. Towards precise map element learning, we propose a
simple yet effective architecture named PivotNet, which adopts unified
pivot-based map representations and is formulated as a direct set prediction
paradigm. Concretely, we first propose a novel point-to-line mask module to
encode both the subordinate and geometrical point-line priors in the network.
Then, a well-designed pivot dynamic matching module is proposed to model the
topology in dynamic point sequences by introducing the concept of sequence
matching. Furthermore, to supervise the position and topology of the vectorized
point predictions, we propose a dynamic vectorized sequence loss. Extensive
experiments and ablations show that PivotNet is remarkably superior to other
SOTAs by 5.9 mAP at least. The code will be available soon.Comment: Accepted by ICCV202
A unified solution for self-equilibrium and super-stability of rhombic truncated regular polyhedral tensegrities
AbstractAs a novel class of lightweight and reticulated structures, tensegrities have found a diversity of technologically significant applications. In this paper, we theoretically investigate the self-equilibrium and super-stability of rhombic truncated regular polyhedral (TRP) tensegrities. First, the analytical solutions are derived individually for rhombic truncated tetrahedral, cubic, octahedral, dodecahedral, and icosahedral tensegrities. Based on these solutions, we establish a unified analytical expression for rhombic TRP tensegrities. Then the necessary and sufficient condition that ensures the existence of a self-equilibrated and super-stable state is provided. The obtained solutions are helpful not only for the design of self-equilibrated and super-stable tensegrities but also for their applications in biomechanics, civil and aerospace engineering
MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction
This report introduces the 1st place winning solution for the Autonomous
Driving Challenge 2023 - Online HD-map Construction. By delving into the
vectorization pipeline, we elaborate an effective architecture, termed as
MachMap, which formulates the task of HD-map construction as the point
detection paradigm in the bird-eye-view space with an end-to-end manner.
Firstly, we introduce a novel map-compaction scheme into our framework, leading
to reducing the number of vectorized points by 93% without any expression
performance degradation. Build upon the above process, we then follow the
general query-based paradigm and propose a strong baseline with integrating a
powerful CNN-based backbone like InternImage, a temporal-based instance decoder
and a well-designed point-mask coupling head. Additionally, an extra optional
ensemble stage is utilized to refine model predictions for better performance.
Our MachMap-tiny with IN-1K initialization achieves a mAP of 79.1 on the
Argoverse2 benchmark and the further improved MachMap-huge reaches the best mAP
of 83.5, outperforming all the other online HD-map construction approaches on
the final leaderboard with a distinct performance margin (> 9.8 mAP at least).Comment: The Outstanding Champion and Innovation Award in the Online HD Map
Construction Challenge (CVPR2023 Workshop
Impact forces of water drops falling on superhydrophobic surfaces
A falling liquid drop, after impact on a rigid substrate, deforms and
spreads, owing to the normal reaction force. Subsequently, if the substrate is
non-wetting, the drop retracts and then jumps off. As we show here, not only is
the impact itself associated with a distinct peak in the temporal evolution of
the normal force, but also the jump-off, which was hitherto unknown. We
characterize both peaks and elucidate how they relate to the different stages
of the drop impact process. The time at which the second peak appears coincides
with the formation of a Worthington jet, emerging through flow-focusing, and it
is independent of the impact velocity. However, the magnitude of this peak is
dictated by the drop's inertia and surface tension. We show that even
low-velocity impacts can lead to a surprisingly high peak in the normal force,
namely when a more pronounced singular Worthington jet occurs due to the
collapse of an air cavity in the drop.Comment: Please find the supplemental movies here:
https://youtube.com/playlist?list=PLf5C5HCrvhLGmlYTF1Gg2WviZ-Bkmy2q
Inequalities in Cervical Cancer Screening Uptake Between Chinese Migrant Women and Local Women: A Cross-Sectional Study
Introduction:
Uptake of cervical cancer screening services in Chinese migrant workers is unknown and may be lower than non-migrant workers in China.
Methods:
We conducted a cross-sectional study among migrant and non-migrant women aged 21-65 at 7 provinces across China and administered a questionnaire investigating knowledge and attitudes regarding cervical cancer, human papillomavirus (HPV), and HPV vaccine. We used multivariable logistic regression to evaluate odds of previous cervical cancer screening in migrant workers.
Results:
737 women participated in the study. Mean age was 41.9 ± 7.2 years. 50.2% of the participants were migrant workers. 27.6% of the migrant workers reported previous cervical cancer screening compared to 33.2% of local participants. 36.6% migrant workers reported awareness of HPV compared to 40.2% of local participants. In adjusted analysis migrant status was not associated with increased odds of previous cervical cancer screening (aOR = 1.11 95%CI: 0.76-1.60). High school or higher education compared to less than high school education and employer-sponsored insurance compared to uninsured were associated with increased odds of previous cervical cancer screening (aOR = 2.15 95%CI: 1.41-3.27 and aOR = 1.67 95% CI: 1.14-2.45, respectively). Having heard of HPV compared to no awareness of HPV was associated with increased odds of cervical cancer screening (aOR = 2.02 95%CI: 1.41-2.91). Awareness of HPV among migrant workers was associated with increased odds of cervical cancer screening compared to migrant and local participants without awareness (aOR = 2.82 95% CI: 1.70-4.69 and 2.97 95%CI: 1.51-5.83, respectively).
Conclusions:
Efforts to increase education opportunities, provide insurance, and promote HPV awareness could increase cervical cancer screening uptake in migrant women in China
Effect of Xinyue capsules on patients with coronary heart disease after percutaneous coronary intervention: study protocol for a randomized controlled trial
Case report form 2014.3.4R2. (PDF 1119 kb
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