scholarly journals Resistance of the Tea Leaf Roller, Caloptilia theivora（Lepidoptera: Gracillariidae）, to Flufenoxuron in Kagoshima Prefecture, Japan

2017 ◽  
Vol 61 (2) ◽  
pp. 99-107 ◽  
Author(s):  
Takeshi Kamimuro ◽  
Shoko Higashitarumizu ◽  
Hiroshi Suenaga
Keyword(s):  
Leaf Roller ◽  
Kagoshima Prefecture ◽  
Tea Leaf

scholarly journals Characterization of the complete mitochondrial genome of the tea leaf roller Caloptilia theivora (Insecta: Lepidoptera: Gracillariidae)

2019 ◽  
Vol 4 (2) ◽  
pp. 2211-2212
Author(s):  
Shi-Chun Chen ◽  
Hong-Yan Jiang ◽  
Jing Shang ◽  
Xiang Hu ◽  
Ping Peng ◽  
...  
Keyword(s):  
Mitochondrial Genome ◽  
Complete Mitochondrial Genome ◽  
Leaf Roller ◽  
Tea Leaf

An Improved Medium for Rearing Red-Banded Leaf Roller

1964 ◽  
Vol 57 (2) ◽  
pp. 296-297 ◽  
Author(s):  
R. E. Redeern
Keyword(s):  
Leaf Roller

scholarly journals Preparation of Catechin Nanoemulsion from Oolong Tea Leaf Waste and Its Inhibition of Prostate Cancer Cells DU-145 and Tumors in Mice

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3260
Author(s):  
Yu-Hsiang Lin ◽  
Chi-Chung Wang ◽  
Ying-Hung Lin ◽  
Bing-Huei Chen
Keyword(s):  
Prostate Cancer ◽  
Cancer Cells ◽  
Tumor Volume ◽  
Tween 80 ◽  
Prostate Cancer Cells ◽  
Caspase 9 ◽  
Oolong Tea ◽  
Induced Tumors ◽  
Anti Cancer ◽  
Tea Leaf

Anti-cancer activity of catechin nanoemulsions prepared from Oolong tea leaf waste was studied on prostate cancer cells DU-145 and DU-145-induced tumors in mice. Catechin nanoemulsions composed of lecithin, Tween-80 and water in an appropriate proportion was prepared with high stability, particle size of 11.3 nm, zeta potential of −67.2 mV and encapsulation efficiency of 83.4%. Catechin nanoemulsions were more effective than extracts in inhibiting DU-145 cell growth, with the IC50 being 13.52 and 214.6 μg/mL, respectively, after 48 h incubation. Furthermore, both catechin nanoemulsions and extracts could raise caspase-8, caspase-9 and caspase-3 activities for DU-145 cell apoptosis, arresting the cell cycle at S and G2/M phases. Compared to control, catechin nanoemulsion at 20 μg/mL and paclitaxel at 10 μg/mL were the most effective in reducing tumor volume by 41.3% and 52.5% and tumor weight by 77.5% and 90.6% in mice, respectively, through a decrease in EGF and VEGF levels in serum.

scholarly journals Parametric Surface Modelling for Tea Leaf Point Cloud Based on Non-Uniform Rational Basis Spline Technique

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1304
Author(s):  
Wenchao Wu ◽  
Yongguang Hu ◽  
Yongzong Lu
Keyword(s):  
Point Cloud ◽  
Principal Component ◽  
Point Clouds ◽  
Parametric Surface ◽  
B Spline ◽  
Surface Modelling ◽  
Modelling Method ◽  
3D Architecture ◽  
Tea Leaf ◽  
Fitting Error

Plant leaf 3D architecture changes during growth and shows sensitive response to environmental stresses. In recent years, acquisition and segmentation methods of leaf point cloud developed rapidly, but 3D modelling leaf point clouds has not gained much attention. In this study, a parametric surface modelling method was proposed for accurately fitting tea leaf point cloud. Firstly, principal component analysis was utilized to adjust posture and position of the point cloud. Then, the point cloud was sliced into multiple sections, and some sections were selected to generate a point set to be fitted (PSF). Finally, the PSF was fitted into non-uniform rational B-spline (NURBS) surface. Two methods were developed to generate the ordered PSF and the unordered PSF, respectively. The PSF was firstly fitted as B-spline surface and then was transformed to NURBS form by minimizing fitting error, which was solved by particle swarm optimization (PSO). The fitting error was specified as weighted sum of the root-mean-square error (RMSE) and the maximum value (MV) of Euclidean distances between fitted surface and a subset of the point cloud. The results showed that the proposed modelling method could be used even if the point cloud is largely simplified (RMSE < 1 mm, MV < 2 mm, without performing PSO). Future studies will model wider range of leaves as well as incomplete point cloud.

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