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106 results on '"Lou, Lu"'

5. Segmentation and Counting of Plant Organs Using Deep Learning and Multi-view Images

Author

Lv, Hui, Chen, Zhen, Mo, Yuhang, Lou, Lu, Song, Ran, Doonan, John H., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jansen, Thomas, editor, Jensen, Richard, editor, Mac Parthaláin, Neil, editor, and Lin, Chih-Min, editor

Published
2022
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6. An Improved SLAM Based on the Fusion of Lidar and Monocular Vision

Author

Li, Yitian, Zhang, Ren, Li, Qihuan, Lou, Lu, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jansen, Thomas, editor, Jensen, Richard, editor, Mac Parthaláin, Neil, editor, and Lin, Chih-Min, editor

Published
2022
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7. Fast and Accurate 3D Reconstruction of Plants Using MVSNet and Multi-View Images

Author

Chen, Zhen, Lv, Hui, Lou, Lu, Doonan, John H., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jansen, Thomas, editor, Jensen, Richard, editor, Mac Parthaláin, Neil, editor, and Lin, Chih-Min, editor

Published
2022
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8. Fast Lane Detection Based on Improved Enet for Driverless Cars

Author

Li, Boyi, Zhao, Yi, Lou, Lu, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jansen, Thomas, editor, Jensen, Richard, editor, Mac Parthaláin, Neil, editor, and Lin, Chih-Min, editor

Published
2022
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9. Detecting and Tracking the Moving Vehicles Based on Deep Learning

Author

Yan, Jia, Wang, Zhengxia, Li, Yitian, Chen, Zhen, Chen, Xiaoyun, Lou, Lu, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jansen, Thomas, editor, Jensen, Richard, editor, Mac Parthaláin, Neil, editor, and Lin, Chih-Min, editor

Published
2022
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10. Improved SLAM Method Based on Dynamic Objects Detecting with the Fusion of Vision and Lidar

Author

Zhang, Ren, Li, Yitian, Lou, Lu, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jansen, Thomas, editor, Jensen, Richard, editor, Mac Parthaláin, Neil, editor, and Lin, Chih-Min, editor

Published
2022
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11. An Approach to Implementing Convolutional Neural Network Based on Low Density FPGA

Author

Zhang, Hanzhong, Li, Qihuan, Bai, Xin, Wang, Zhengxia, Lou, Lu, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jansen, Thomas, editor, Jensen, Richard, editor, Mac Parthaláin, Neil, editor, and Lin, Chih-Min, editor

Published
2022
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22. Cost-effective accurate 3-D reconstruction based on multi-view images for plant phenotyping

Author

Lou, Lu, Liu, Yonghuai, and Price, Christopher

Subjects
006.6
Abstract

Phenotyping involves the measurement, ideally objectively, of characteristics or traits, usually in the context of living organisms, including plants. Traditionally, this is limited to either tedious and sparse manual measurements, often acquired destructively, or coarse image-based 2-D measurements. A dynamic model of 3-D architecture through developmental time could capture useful geometric characteristics representing phenotypic information on morphology and also record the adaptive response to environmental conditions. In recent years, many emerging 3-D imaging technologies (based on laser scanners, structured light, multi-view stereo, etc.) provide the potential to capture quantitatively morphological features and have been proposed as non-destructive phenotyping alternatives to current cost-intensive commercial phenotyping platforms. However, available 3-D resolutions are limited in various ways. For example, they may focus on a speci c organ (e.g. leaf or stem) or tend to be qualitative rather than providing quantitative information and often lack any estimation of accuracy. This thesis investigates the existing methods and aim to build a cost-e ective accurate 3-D reconstruction framework that could cope with a diversity of plant forms and sizes, while using equipment available to most biology labs. I rstly developed a multi-view image acquisition method to obtain highresolution 2-D image sequences, using low-cost turntable and a consumer-grade digital camera. To deal with the self-occlusion problem, the proposed method is based on short baseline and multiple viewpoint photography, and usually acquired approximate 60-120 images. To improve the exibility and save time of data acquisition, the camera is equipped with a variable focal length lens and does not need extra calibration processing. I proposed an e cient Structure- From-Motion method to estimate cameras' parameters and poses from the uncalibrated images of the plant. Finally, I developed an accurate multi-view stereo 3-D reconstruction method to yield a dense and detailed 3-D point cloud of plant. The method takes both accuracy and e ciency into account, and therefore is faster than other state-of-the-art methods. The accuracy of the proposed method was evaluated with limited ground truths as well as the measurement deviations of test specimens. The experimental results show that the proposed methods are highly reliable for phenotyping of various plants during their entire growth cycles. This promising generalized 3-D imaging technique has the potential to be implemented in automated procedure.

Published
2016

31. Supplementary material 1 from: Lou Y-L, Ma D-K, Jin Z-T, Wang H, Lou L-H, Jin S-H, Liu K, Liu B-B (2022) Phylogenomic and morphological evidence reveal a new species of spider lily, Lycoris longifolia (Amaryllidaceae) from China. PhytoKeys 210: 79-92. https://doi.org/10.3897/phytokeys.210.90391

Author

Lou, Yi-Lei, primary, Ma, Dai-Kun, additional, Jin, Ze-Tao, additional, Wang, Hui, additional, Lou, Lu-Huan, additional, Jin, Shui-Hu, additional, Liu, Kun, additional, and Liu, Bin-Bin, additional

Published
2022
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32. Supplementary material 5 from: Lou Y-L, Ma D-K, Jin Z-T, Wang H, Lou L-H, Jin S-H, Liu K, Liu B-B (2022) Phylogenomic and morphological evidence reveal a new species of spider lily, Lycoris longifolia (Amaryllidaceae) from China. PhytoKeys 210: 79-92. https://doi.org/10.3897/phytokeys.210.90391

Author

Lou, Yi-Lei, primary, Ma, Dai-Kun, additional, Jin, Ze-Tao, additional, Wang, Hui, additional, Lou, Lu-Huan, additional, Jin, Shui-Hu, additional, Liu, Kun, additional, and Liu, Bin-Bin, additional

Published
2022
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33. Supplementary material 6 from: Lou Y-L, Ma D-K, Jin Z-T, Wang H, Lou L-H, Jin S-H, Liu K, Liu B-B (2022) Phylogenomic and morphological evidence reveal a new species of spider lily, Lycoris longifolia (Amaryllidaceae) from China. PhytoKeys 210: 79-92. https://doi.org/10.3897/phytokeys.210.90391

Author

Lou, Yi-Lei, primary, Ma, Dai-Kun, additional, Jin, Ze-Tao, additional, Wang, Hui, additional, Lou, Lu-Huan, additional, Jin, Shui-Hu, additional, Liu, Kun, additional, and Liu, Bin-Bin, additional

Published
2022
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34. Supplementary material 4 from: Lou Y-L, Ma D-K, Jin Z-T, Wang H, Lou L-H, Jin S-H, Liu K, Liu B-B (2022) Phylogenomic and morphological evidence reveal a new species of spider lily, Lycoris longifolia (Amaryllidaceae) from China. PhytoKeys 210: 79-92. https://doi.org/10.3897/phytokeys.210.90391

Author

Lou, Yi-Lei, primary, Ma, Dai-Kun, additional, Jin, Ze-Tao, additional, Wang, Hui, additional, Lou, Lu-Huan, additional, Jin, Shui-Hu, additional, Liu, Kun, additional, and Liu, Bin-Bin, additional

Published
2022
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35. Figure 2 from: Lou Y-L, Ma D-K, Jin Z-T, Wang H, Lou L-H, Jin S-H, Liu K, Liu B-B (2022) Phylogenomic and morphological evidence reveal a new species of spider lily, Lycoris longifolia (Amaryllidaceae) from China. PhytoKeys 210: 79-92. https://doi.org/10.3897/phytokeys.210.90391

Author

Lou, Yi-Lei, primary, Ma, Dai-Kun, additional, Jin, Ze-Tao, additional, Wang, Hui, additional, Lou, Lu-Huan, additional, Jin, Shui-Hu, additional, Liu, Kun, additional, and Liu, Bin-Bin, additional

Published
2022
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37. Figure 3 from: Lou Y-L, Ma D-K, Jin Z-T, Wang H, Lou L-H, Jin S-H, Liu K, Liu B-B (2022) Phylogenomic and morphological evidence reveal a new species of spider lily, Lycoris longifolia (Amaryllidaceae) from China. PhytoKeys 210: 79-92. https://doi.org/10.3897/phytokeys.210.90391

Author

Lou, Yi-Lei, primary, Ma, Dai-Kun, additional, Jin, Ze-Tao, additional, Wang, Hui, additional, Lou, Lu-Huan, additional, Jin, Shui-Hu, additional, Liu, Kun, additional, and Liu, Bin-Bin, additional

Published
2022
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38. Figure 1 from: Lou Y-L, Ma D-K, Jin Z-T, Wang H, Lou L-H, Jin S-H, Liu K, Liu B-B (2022) Phylogenomic and morphological evidence reveal a new species of spider lily, Lycoris longifolia (Amaryllidaceae) from China. PhytoKeys 210: 79-92. https://doi.org/10.3897/phytokeys.210.90391

Author

Lou, Yi-Lei, primary, Ma, Dai-Kun, additional, Jin, Ze-Tao, additional, Wang, Hui, additional, Lou, Lu-Huan, additional, Jin, Shui-Hu, additional, Liu, Kun, additional, and Liu, Bin-Bin, additional

Published
2022
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39. Supplementary material 2 from: Lou Y-L, Ma D-K, Jin Z-T, Wang H, Lou L-H, Jin S-H, Liu K, Liu B-B (2022) Phylogenomic and morphological evidence reveal a new species of spider lily, Lycoris longifolia (Amaryllidaceae) from China. PhytoKeys 210: 79-92. https://doi.org/10.3897/phytokeys.210.90391

Author

Lou, Yi-Lei, primary, Ma, Dai-Kun, additional, Jin, Ze-Tao, additional, Wang, Hui, additional, Lou, Lu-Huan, additional, Jin, Shui-Hu, additional, Liu, Kun, additional, and Liu, Bin-Bin, additional

Published
2022
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40. Supplementary material 3 from: Lou Y-L, Ma D-K, Jin Z-T, Wang H, Lou L-H, Jin S-H, Liu K, Liu B-B (2022) Phylogenomic and morphological evidence reveal a new species of spider lily, Lycoris longifolia (Amaryllidaceae) from China. PhytoKeys 210: 79-92. https://doi.org/10.3897/phytokeys.210.90391

Author

Lou, Yi-Lei, primary, Ma, Dai-Kun, additional, Jin, Ze-Tao, additional, Wang, Hui, additional, Lou, Lu-Huan, additional, Jin, Shui-Hu, additional, Liu, Kun, additional, and Liu, Bin-Bin, additional

Published
2022
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46. The Stringent Response Contributes to Persistent Methicillin-Resistant Staphylococcus aureus Endovascular Infection Through the Purine Biosynthetic Pathway

Author

Lou Lu, Arnold S. Bayer, Wessam Abdelhady, Liang Li, Yan Q. Xiong, Jong-In Hong, Niles P. Donegan, Michael R. Yeaman, and Ambrose L. Cheung

Subjects
Methicillin-Resistant Staphylococcus aureus, 0301 basic medicine, Purine, Stringent response, medicine.drug_class, 030106 microbiology, Antibiotics, Bacteremia, Biology, medicine.disease_cause, Microbiology, Methicillin, Major Articles and Brief Reports, 03 medical and health sciences, chemistry.chemical_compound, medicine, Animals, Humans, Immunology and Allergy, Endocarditis, Purine metabolism, Staphylococcal Infections, medicine.disease, Methicillin-resistant Staphylococcus aureus, Anti-Bacterial Agents, Biosynthetic Pathways, Disease Models, Animal, 030104 developmental biology, Infectious Diseases, chemistry, Purines, Staphylococcus aureus, Rabbits
Abstract

Persistent methicillin-resistant Staphylococcus aureus (MRSA) endovascular infections represent a significant clinical-therapeutic challenge. Of particular concern is antibiotic treatment failure in infections caused by MRSA that are “susceptible” to antibiotic in vitro. In the current study, we investigate specific purine biosynthetic pathways and stringent response mechanism(s) related to this life-threatening syndrome using genetic matched persistent and resolving MRSA clinical bacteremia isolates (PB and RB, respectively), and isogenic MRSA strain sets. We demonstrate that PB isolates (vs RB isolates) have significantly higher (p)ppGpp production, phenol-soluble-modulin expression, polymorphonuclear leukocyte lysis and survival, fibronectin/endothelial cell (EC) adherence, and EC damage. Importantly, an isogenic strain set, including JE2 parental, relP-mutant and relP-complemented strains, translated the above findings into significant outcome differences in an experimental endocarditis model. These observations indicate a significant regulation of purine biosynthesis on stringent response, and suggest the existence of a previously unknown adaptive genetic mechanism in persistent MRSA infection.

Published
2020

47. K-Ras Lys-42 is crucial for its signaling, cell migration, and invasion

Author

Mark R. Philips, Byeong Hyeok Choi, Wei Dai, Yuan Chen, and Lou Lu

Subjects
0301 basic medicine, MAP Kinase Signaling System, SUMO protein, medicine.disease_cause, Biochemistry, Proto-Oncogene Proteins p21(ras), Focal adhesion, Mice, 03 medical and health sciences, Cell Movement, medicine, Extracellular, Animals, Humans, Neoplasm Invasiveness, Extracellular Signal-Regulated MAP Kinases, Molecular Biology, Chemistry, Kinase, Sumoylation, Zinc Finger E-box-Binding Homeobox 1, Cell migration, Cell Biology, Flavones, Cell biology, Checkpoint Kinase 2, HEK293 Cells, 030104 developmental biology, Cell culture, Focal Adhesion Kinase 1, Ubiquitin-Conjugating Enzymes, MCF-7 Cells, NIH 3T3 Cells, Zonula Occludens-1 Protein, Phosphorylation, Carcinogenesis
Abstract

Ras proteins participate in multiple signal cascades, regulating crucial cellular processes, including cell survival, proliferation, and differentiation. We have previously reported that Ras proteins are modified by sumoylation and that Lys-42 plays an important role in mediating the modification. In the current study, we further investigated the role of Lys-42 in regulating cellular activities of K-Ras. Inducible expression of K-Ras(V12) led to the activation of downstream components, including c-RAF, MEK1, and extracellular signal–regulated kinases (ERKs), whereas expression of K-Ras(V12/R42) mutant compromised the activation of the RAF/MEK/ERK signaling axis. Expression of K-Ras(V12/R42) also led to reduced phosphorylation of several other protein kinases, including c-Jun N-terminal kinase (JNK), Chk2, and focal adhesion kinase (FAK). Significantly, K-Ras(V12/R42) expression inhibited cellular migration and invasion in vitro in multiple cell lines, including transformed pancreatic cells. Given that K-Ras plays a crucial role in mediating oncogenesis in the pancreas, we treated transformed pancreatic cells of both BxPC-3 and MiaPaCa-2 with 2-D08, a small ubiquitin-like modifier (SUMO) E2 inhibitor. Treatment with the compound inhibited cell migration in a concentration-dependent manner, which was correlated with a reduced level of K-Ras sumoylation. Moreover, 2-D08 suppressed expression of ZEB1 (a mesenchymal cell marker) with concomitant induction of ZO-1 (an epithelial cell marker). Combined, our studies strongly suggest that posttranslational modification(s), including sumoylation mediated by Lys-42, plays a crucial role in K-Ras activities in vivo.

Published
2018

48. Tunable Electrical Conductivity and Simultaneously Enhanced Thermoelectric and Mechanical Properties in n‐type Bi2Te3.

Author

Lou, Lu‐Yao, Yang, Jianmin, Zhu, Yu‐Ke, Liang, Hao, Zhang, Yi‐Xin, Feng, Jing, He, Jiaqing, Ge, Zhen‐Hua, and Zhao, Li‐Dong

Subjects
*ELECTRIC conductivity, *BISMUTH alloys, *THERMAL conductivity, *N-type semiconductors, *SEEBECK coefficient, *BISMUTH, *ALKALI metals, *THERMOELECTRIC materials
Abstract

The recent growing energy crisis draws considerable attention to high‐performance thermoelectric materials. n‐type bismuth telluride is still irreplaceable at near room temperature for commercial application, and therefore, is worthy of further investigation. In this work, nanostructured Bi2Te3 polycrystalline materials with highly enhanced thermoelectric properties are obtained by alkali metal Na solid solution. Na is chosen as the cation site dopant for n‐type polycrystalline Bi2Te3. Na enters the Bi site, introducing holes in the Bi2Te3 matrix and rendering the electrical conductivity tunable from 300 to 1800 Scm–1. The solid solution limit of Na in Bi2Te3 exceeds 0.3 wt%. Owing to the effective solid solution, the Fermi level of Bi2Te3 is properly regulated, leading to an improved Seebeck coefficient. In addition, the scattering of both charge carriers and phonons is modulated, which ensured a high‐power factor and low lattice thermal conductivity. Benefitting from the synergistic optimization of both electrical and thermal transport properties, a maximum figure of merit (ZT) of 1.03 is achieved at 303 K when the doping content is 0.25 wt%, which is 70% higher than that of the pristine sample. This work disclosed an effective strategy for enhancing the performance of n‐type bismuth telluride‐based alloy materials. [ABSTRACT FROM AUTHOR]

Published
2022
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49. Tunable Electrical Conductivity and Simultaneously Enhanced Thermoelectric and Mechanical Properties in n‐type Bi2Te3.

Author

Lou, Lu‐Yao, Yang, Jianmin, Zhu, Yu‐Ke, Liang, Hao, Zhang, Yi‐Xin, Feng, Jing, He, Jiaqing, Ge, Zhen‐Hua, and Zhao, Li‐Dong

Subjects
ELECTRIC conductivity, BISMUTH alloys, THERMAL conductivity, N-type semiconductors, SEEBECK coefficient, BISMUTH, ALKALI metals, THERMOELECTRIC materials
Abstract

The recent growing energy crisis draws considerable attention to high‐performance thermoelectric materials. n‐type bismuth telluride is still irreplaceable at near room temperature for commercial application, and therefore, is worthy of further investigation. In this work, nanostructured Bi2Te3 polycrystalline materials with highly enhanced thermoelectric properties are obtained by alkali metal Na solid solution. Na is chosen as the cation site dopant for n‐type polycrystalline Bi2Te3. Na enters the Bi site, introducing holes in the Bi2Te3 matrix and rendering the electrical conductivity tunable from 300 to 1800 Scm–1. The solid solution limit of Na in Bi2Te3 exceeds 0.3 wt%. Owing to the effective solid solution, the Fermi level of Bi2Te3 is properly regulated, leading to an improved Seebeck coefficient. In addition, the scattering of both charge carriers and phonons is modulated, which ensured a high‐power factor and low lattice thermal conductivity. Benefitting from the synergistic optimization of both electrical and thermal transport properties, a maximum figure of merit (ZT) of 1.03 is achieved at 303 K when the doping content is 0.25 wt%, which is 70% higher than that of the pristine sample. This work disclosed an effective strategy for enhancing the performance of n‐type bismuth telluride‐based alloy materials. [ABSTRACT FROM AUTHOR]

Published
2022
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