66 research outputs found
Study on current status and climatic characteristics of wine regions in China
The aim of this paper is to improve the knowledge of the current status and climatic characteristics of Chinese wine regions. An investigation of Chinese winegrowing regions, which concerned the distribution, area and cultivars, was conducted using "questionnaires + expert consultation + available literature". On the basis of the results of the investigation, a map was drawn to depict the distribution of Chinese wine regions. Furthermore, observation records of weather stations located within winegrowing zones during 1982–2011 were employed to analyze the climatic characteristics of each region by using the climatic indices of frost-free season (FFS), dryness index (DI), and extremely low temperature (ELT). According to the findings of the investigation, wine grapes have been widely cultivated in 179 counties of China, with a total cultivation area of 163,200 ha. 'Cabernet Sauvignon' was the most widely cultivated variety. The analysis of the climatic characteristics revealed a regional difference within and between wine regions. Moreover, most wine regions were suitable for wine production in terms of the climatic indices, which in turn verified the applicability of the climate indices system
Biomechanical comparison of multilevel lateral interbody fusion with and without supplementary instrumentation: a three-dimensional finite element study
Abstract
Background
Lateral lumbar interbody fusion (LLIF) is a popular, minimally invasive technique that is used to address challenging multilevel degenerative spinal diseases. It remains controversial whether supplemental instrumentation should be added for multilevel LLIF. In this study, we compared the kinematic stability afforded by stand-alone lateral cages with those supplemented by bilateral pedicle screws and rods (PSR), unilateral PSR, or lateral plate (LP) fixation using a finite-element (FE) model of a multi-level LLIF construct with simulated osteoporosis. Additionally, to evaluate the prospect of cage subsidence, the stress change characteristics were surveyed at cage-endplate interfaces.
Methods
A nonlinear 3-dimensional FE model of the lumbar spine (L2 to sacrum) was used. After validation, four patterns of instrumented 3-level LLIF (L2-L5) were constructed for this analysis: (a) 3 stand-alone lateral cages (SLC), (b) 3 lateral cages with lateral plate and two screws (parallel to endplate) fixated separately (LPC), (c) 3 lateral cages with bilateral pedicle screw and rod fixation (LC + BPSR), and (d) 3 lateral cages with unilateral pedicle and rod fixation (LC + UPSR). The segmental and overall range of motion (ROM) of each implanted condition were investigated and compared with the intact model. The peak von Mises stresses upon each (superior) endplate and the stress distribution were used for analysis.
Results
BPSR provided the maximum reduction of ROM among the configurations at every plane of motion (66.7–90.9% of intact spine). UPSR also provided significant segmental ROM reduction (45.0–88.3%). SLC provided a minimal restriction of ROM (10.0–75.1%), and LPC was found to be less stable than both posterior fixation (23.9–86.2%) constructs. The construct with stand-alone lateral cages generated greater endplate stresses than did any of the other multilevel LLIF models. For the L3, L4 and L5 endplates, peak endplate stresses caused by the SLC construct exceeded the BPSR group by 52.7, 63.8, and 54.2% in flexion, 22.3, 40.1, and 31.4% in extension, 170.2, 175.1, and 134.0% in lateral bending, and 90.7, 45.5, and 30.0% in axial rotation, respectively. The stresses tended to be more concentrated at the periphery of the endplates.
Conclusions
SLC and LPC provided inadequate ROM restriction for the multilevel LLIF constructs, whereas lateral cages with BPSR or UPSR fixation provided favorable biomechanical stability. Moreover, SLC generated significantly higher endplate stress compared with supplemental instrumentation, which may have increased the risk of cage subsidence. Further biomechanical and clinical studies are required to validate our FEA findings.http://deepblue.lib.umich.edu/bitstream/2027.42/136058/1/12891_2017_Article_1387.pd
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
Adversarial examples generated by a surrogate model typically exhibit limited
transferability to unknown target systems. To address this problem, many
transferability enhancement approaches (e.g., input transformation and model
augmentation) have been proposed. However, they show poor performances in
attacking systems having different model genera from the surrogate model. In
this paper, we propose a novel and generic attacking strategy, called
Deformation-Constrained Warping Attack (DeCoWA), that can be effectively
applied to cross model genus attack. Specifically, DeCoWA firstly augments
input examples via an elastic deformation, namely Deformation-Constrained
Warping (DeCoW), to obtain rich local details of the augmented input. To avoid
severe distortion of global semantics led by random deformation, DeCoW further
constrains the strength and direction of the warping transformation by a novel
adaptive control strategy. Extensive experiments demonstrate that the
transferable examples crafted by our DeCoWA on CNN surrogates can significantly
hinder the performance of Transformers (and vice versa) on various tasks,
including image classification, video action recognition, and audio
recognition. Code is made available at https://github.com/LinQinLiang/DeCoWA.Comment: AAAI 202
Present and future resilience research driven by science and technology
Community resilience against major disasters is a multidisciplinary research field that garners an ever-increasing interest worldwide. This paper provides summaries of the discussions held on the subject matter and the research outcomes presented during the Second Resilience Workshop in Nanjing and Shanghai. It, thus, offers a community view of present work and future research directions identified by the workshop participants who hail from Asia – including China, Japan and Korea; Europe and the Americas
V-LGBP: Volume based local Gabor binary patterns for face representation and recognition
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is regarded as a three dimensional 'volume', where the first two dimensions are spatial domain and the third dimension is the Gabor filter index. Then, the neighborhood order relationship in the 'volume' is encoded by Local Binary Patterns (LBP), which converts the Gabor transformed images into multiple index maps. Finally, the spatial histograms of all the V-LGBP index maps are concatenated together to represent the facial appearances. In addition, in order to reflect the uniform appearances of V-LGBP, its uniform patterns are redefined via statistical analysis. Extensive experiments on FERET dataset validate the effectiveness of our approach. ? 2008 IEEE.EI
V-LGBP: Volume based local Gabor binary patterns for face representation and recognition
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is regarded as a three dimensional 'volume', where the first two dimensions are spatial domain and the third dimension is the Gabor filter index. Then, the neighborhood order relationship in the 'volume' is encoded by Local Binary Patterns (LBP), which converts the Gabor transformed images into multiple index maps. Finally, the spatial histograms of all the V-LGBP index maps are concatenated together to represent the facial appearances. In addition, in order to reflect the uniform appearances of V-LGBP, its uniform patterns are redefined via statistical analysis. Extensive experiments on FERET dataset validate the effectiveness of our approach. ? 2008 IEEE.EI
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