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Article ; Online: The effects of different rootstocks on aroma components, activities and genes expression of aroma-related enzymes in oriental melon fruit.

Guo, Kedong / Zhao, Jiateng / Fang, Siyu / Zhang, Qian / Nie, Lanchun / Zhao, Wensheng

2024 Volume 12, Page(s) e16704

Abstract: Grafting is widely applied in the cultivation of melon. In this study, 'Qinmi No.1' ( ...

Abstract	Grafting is widely applied in the cultivation of melon. In this study, 'Qinmi No.1' (
MeSH term(s)	Odorants ; Fruit/genetics ; Cucumis melo ; Alcohol Dehydrogenase ; Smell/genetics ; Cucurbita
Chemical Substances	Alcohol Dehydrogenase (EC 1.1.1.1) ; 2-butene (S1SK37516R)
Language	English
Publishing date	2024-01-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	2703241-3
ISSN	2167-8359 ; 2167-8359
ISSN (online)	2167-8359
ISSN	2167-8359
DOI	10.7717/peerj.16704
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Distribution and removal pathways of heavy metals during the operation of sludge treatment wetlands.

Ma, Junwen / Cui, Yubo / Ma, Chengdong / Kuang, Peijing / Zhao, Ke / Ma, Kedong / Chen, Zhaobo

Environmental technology

2023 , Page(s) 1–10

Abstract: ... ...

Abstract	ABSTRACT
Language	English
Publishing date	2023-08-07
Publishing country	England
Document type	Journal Article
ISSN	1479-487X
ISSN (online)	1479-487X
DOI	10.1080/09593330.2023.2243020
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Novel cow dung-doped sludge biochar as an efficient ozone catalyst: Synergy between graphitic structure and defects induces free radical pathways.

Yang, Yuxuan / Ma, Kedong / Cui, Yubo / Zhao, Ke / Lu, Yuning / Zhang, Wanjun / Kuang, Peijing / Zou, Xuejun

Environmental research

2024 Volume 251, Issue Pt 2, Page(s) 118747

Abstract: A composite material, cow dung-doped sludge biochar (Zn@SBC-CD), was synthesized by one-step pyrolysis using ... ...

Abstract	A composite material, cow dung-doped sludge biochar (Zn@SBC-CD), was synthesized by one-step pyrolysis using ZnCl
Language	English
Publishing date	2024-03-25
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2024.118747
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Article ; Online: The effects of different rootstocks on aroma components, activities and genes expression of aroma-related enzymes in oriental melon fruit

Kedong Guo / Jiateng Zhao / Siyu Fang / Qian Zhang / Lanchun Nie / Wensheng Zhao

PeerJ, Vol 12, p e

2024 Volume 16704

Abstract: Grafting is widely applied in the cultivation of melon. In this study, ‘Qinmi No.1’ (Cucumis melo L.(QG)) and ‘Ribenxuesong’ (Cucurbita maxima Duch. (RG)) were used as rootstocks for ‘Qingxin Yangjiaocui’ (Cucumis melo L.). The results showed that ... ...

Abstract	Grafting is widely applied in the cultivation of melon. In this study, ‘Qinmi No.1’ (Cucumis melo L.(QG)) and ‘Ribenxuesong’ (Cucurbita maxima Duch. (RG)) were used as rootstocks for ‘Qingxin Yangjiaocui’ (Cucumis melo L.). The results showed that grafting with muskmelon rootstocks had no significant effect on fruit aroma, but grafting with pumpkin rootstocks significantly reduced the odor intensity and odor preference scores of melon fruits. Compared with the fruits from self-grafted plants (SG), four new aromatic volatiles with a sweet smell were detected, the alcohol dehydrogenase (ADH) activity was significantly decreased at 30 DAP, but unaffected at 42 DAP in QG fruits. There was no difference for alcohol acetyltransferase (AAT) activity between QG and SG fruits. The expression level of CmADH2 was significantly higher at 30 DAP and 42 DAP, but CmAAT2 was significantly lower at 42 DAP in QG fruits compared with SG fruits. In RG fruits, the main aroma compounds including butanoic acid ethyl ester, 2-methyl-2-butene-1-al, and 2-methylheptan-1-al were absent, while the volatile compounds with unpleasant odor characteristics including trans, cis-2,6-nonadien-1-ol, (E,E)-2,4-heptadienal, octanoic acid, and styrene were detected. Compared with SG fruits, 1-nonanol and 1-heptanol with green odor characteristics were significantly increased, but eucalyptol and farnesene with fruity aroma characteristics were significantly decreased in RG fruits. The ADH activity of RG fruits was significantly lower than that of SG fruits at 30 DAP and the AAT activity was significantly lower than that of SG fruits at 42 DAP. In addition, the expression levels of CmADH and CmAAT homologs in RG fruits were significantly lower than those in SG or QG fruits. These results show that grafting with pumpkin rootstocks affected the main aroma components, reduced ADH and AAT activities, and down-regulated the expression levels of CmADHs and CmAATs in the melon fruits. This study reveals the mechanism of different rootstocks on melon fruit ...
Keywords	Cucumis melo L ; Rootstock ; Aroma components ; HS-SPME-GC-MS ; Aroma-related enzymes ; Gene expression ; Medicine ; R ; Biology (General) ; QH301-705.5
Subject code	333
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	PeerJ Inc.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Road-Network-Map-Assisted Vehicle Positioning Based on Pose Graph Optimization.

Xu, Shuchen / Sun, Yongrong / Zhao, Kedong / Fu, Xiyu / Wang, Shuaishuai

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 17

Abstract: Satellite signals are easily lost in urban areas, which causes difficulty in vehicles being located with high precision. Visual odometry has been increasingly applied in navigation systems to solve this problem. However, visual odometry relies on dead- ... ...

Abstract	Satellite signals are easily lost in urban areas, which causes difficulty in vehicles being located with high precision. Visual odometry has been increasingly applied in navigation systems to solve this problem. However, visual odometry relies on dead-reckoning technology, where a slight positioning error can accumulate over time, resulting in a catastrophic positioning error. Thus, this paper proposes a road-network-map-assisted vehicle positioning method based on the theory of pose graph optimization. This method takes the dead-reckoning result of visual odometry as the input and introduces constraints from the point-line form road network map to suppress the accumulated error and improve vehicle positioning accuracy. We design an optimization and prediction model, and the original trajectory of visual odometry is optimized to obtain the corrected trajectory by introducing constraints from map correction points. The vehicle positioning result at the next moment is predicted based on the latest output of the visual odometry and corrected trajectory. The experiments carried out on the KITTI and campus datasets demonstrate the superiority of the proposed method, which can provide stable and accurate vehicle position estimation in real-time, and has higher positioning accuracy than similar map-assisted methods.
Language	English
Publishing date	2023-08-31
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23177581
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Cycle Slip Detection and Repair Method Based on Inertial Aiding for BDS Triple-Frequency Signals.

Fu, Xiyu / Sun, Yongrong / Wu, Ling / Wang, Kaifeng / Zhao, Kedong

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 12

Abstract: Cycle slip detection and repair is a prerequisite to obtain high-precision positioning based on a carrier phase. Traditional triple-frequency pseudorange and phase combination algorithm are highly sensitive to the pseudorange observation accuracy. To ... ...

Abstract	Cycle slip detection and repair is a prerequisite to obtain high-precision positioning based on a carrier phase. Traditional triple-frequency pseudorange and phase combination algorithm are highly sensitive to the pseudorange observation accuracy. To solve the problem, a cycle slip detection and repair algorithm based on inertial aiding for a BeiDou navigation satellite system (BDS) triple-frequency signal is proposed. To enhance the robustness, the INS-aided cycle slip detection model with double-differenced observations is derived. Then, the geometry-free phase combination is united to detect the insensitive cycle slip, and the optimal coefficient combination is selected. Furthermore, the L2-norm minimum principle is used to search and confirm the cycle slip repair value. To correct the INS error accumulated over time, the extended Kalman filter based on the BDS/INS tightly coupled system is established. The vehicular experiment is conducted to evaluate the performance of the proposed algorithm from a few aspects. The results indicate that the proposed algorithm can reliably detect and repair all cycle slips that occur in one cycle, including the small and insensitive cycle slips as well as the intensive and continuous cycle slips. Additionally, in signal-challenged environments, the cycle slips occurring 14 s after a satellite signal outage can be correctly detected and repaired.
Language	English
Publishing date	2023-06-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23125641
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Forecasting carbon emissions from energy consumption in Guangdong Province, China with a novel grey multivariate model.

Wan, Guangxue / Li, Xuemei / Yin, Kedong / Zhao, Yufeng

Environmental science and pollution research international

2022 Volume 29, Issue 39, Page(s) 59534–59546

Abstract: Carbon dioxide has a significant impact on global climate change due to its natural greenhouse effect. The objective and credible forecast of carbon emissions is very important for the government to formulate and implement the corresponding emission ... ...

Abstract	Carbon dioxide has a significant impact on global climate change due to its natural greenhouse effect. The objective and credible forecast of carbon emissions is very important for the government to formulate and implement the corresponding emission reduction targets. For controlling the growth of carbon emissions, Chinese government has put forward the low-carbon pilot policy and carbon trading policy. However, the existing grey models cannot measure the impact of policies and their interactions. In order to remedy the defect, a novel grey multivariable model based on dummy variables and their interactions is established. Two kinds of grey multivariable models and back propagation neural network model are chosen as comparison models to highlight that the introduction of dummy variables and their interactions plays an important part in improving the model performance. To verify the effectiveness, these four models are selected to simulate and predict the carbon emissions generated from primary energy consumption in Guangdong Province of China. The empirical results indicate that the mean absolute percentage errors of the novel model are 2.87% and 0.86%, respectively, which is significantly better than these three competing models. Finally, based on the outstanding performance of the novel model, it is chosen to forecast the fluctuating tendency of carbon emissions in the next 5 years.
MeSH term(s)	Carbon Dioxide/analysis ; China ; Climate Change ; Forecasting ; Neural Networks, Computer
Chemical Substances	Carbon Dioxide (142M471B3J)
Language	English
Publishing date	2022-04-06
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-19805-8
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Increasing Surface Functionalities of FeCl 3 -Modified Reed Waste Biochar for Enhanced Nitrate Adsorption Property

Peijing Kuang / Yubo Cui / Zhongwei Zhang / Kedong Ma / Wanjun Zhang / Ke Zhao / Xiaomeng Zhang

Processes, Vol 11, Iss 1740, p

2023 Volume 1740

Abstract: Ferric chloride (FeCl 3 ) modified reed straw-based biochar was synthesized to remove nitrate from aqueous solutions and achieve waste recycling. The adsorption of nitrate onto Fe-RBC-600 adsorbents could be described by the pseudo-second-order kinetic ... ...

Abstract	Ferric chloride (FeCl 3 ) modified reed straw-based biochar was synthesized to remove nitrate from aqueous solutions and achieve waste recycling. The adsorption of nitrate onto Fe-RBC-600 adsorbents could be described by the pseudo-second-order kinetic model and fitted to Langmuir adsorption, and the maximum adsorption capacity predicted using the Langmuir model was 272.024 mg g −1 . The adsorbent characterization indicated that a high temperature of 600 °C and an oxygen-poor environment could develop a hydrophobic surface and O-containing functional groups on the biochar, which provided more binding sites for Fe 3+ /Fe 2+ attachment and increased the surface functionality of Fe-RBC-600 with iron oxide formation. The increasing surface functionality successfully enhanced the nitrate adsorption property. The mechanism of nitrate adsorption was mainly attributed to the physical adsorption onto the positive surface and sequential chemical reduction by Fe 2+ , and the electrostatic adsorption by protonated amine groups.
Keywords	reed waste biochar ; nitrate adsorption property ; iron modification ; surface functionalities ; mechanism ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
Subject code	333
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Forecasting carbon emissions from energy consumption in Guangdong Province, China with a novel grey multivariate model

Wan, Guangxue / Li, Xuemei / Yin, Kedong / Zhao, Yufeng

Environmental science and pollution research. 2022 Aug., v. 29, no. 39

2022

Abstract	Carbon dioxide has a significant impact on global climate change due to its natural greenhouse effect. The objective and credible forecast of carbon emissions is very important for the government to formulate and implement the corresponding emission reduction targets. For controlling the growth of carbon emissions, Chinese government has put forward the low-carbon pilot policy and carbon trading policy. However, the existing grey models cannot measure the impact of policies and their interactions. In order to remedy the defect, a novel grey multivariable model based on dummy variables and their interactions is established. Two kinds of grey multivariable models and back propagation neural network model are chosen as comparison models to highlight that the introduction of dummy variables and their interactions plays an important part in improving the model performance. To verify the effectiveness, these four models are selected to simulate and predict the carbon emissions generated from primary energy consumption in Guangdong Province of China. The empirical results indicate that the mean absolute percentage errors of the novel model are 2.87% and 0.86%, respectively, which is significantly better than these three competing models. Finally, based on the outstanding performance of the novel model, it is chosen to forecast the fluctuating tendency of carbon emissions in the next 5 years.
Keywords	carbon ; carbon dioxide ; climate change ; greenhouse effect ; issues and policy ; model validation ; multivariate analysis ; neural networks ; pollution ; primary energy ; research ; China
Language	English
Dates of publication	2022-08
Size	p. 59534-59546.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-19805-8
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Study of Finite Element Simulation on the Mechano-Bactericidal Mechanism of Hierarchical Nanostructure Arrays.

Zhao, Lidan / Liu, Tianqing / Li, Xiangqin / Cui, Qianqian / Wang, Xin / Song, Kedong / Ge, Dan / Li, Wenfang

ACS biomaterials science & engineering

2023 Volume 9, Issue 8, Page(s) 4770–4780

Abstract: Biomimetic nanostructures with bactericidal performance have become the research focus in constructing sterilization surfaces, but the mechano-bactericidal mechanism is still not fully understood, especially for the hierarchical nanostructure arrays with ...

Abstract	Biomimetic nanostructures with bactericidal performance have become the research focus in constructing sterilization surfaces, but the mechano-bactericidal mechanism is still not fully understood, especially for the hierarchical nanostructure arrays with different heights. Herein, the interaction between
MeSH term(s)	Finite Element Analysis ; Surface Properties ; Nanostructures/chemistry ; Escherichia coli ; Anti-Bacterial Agents/pharmacology ; Anti-Bacterial Agents/chemistry
Chemical Substances	Anti-Bacterial Agents
Language	English
Publishing date	2023-07-28
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2373-9878
ISSN (online)	2373-9878
DOI	10.1021/acsbiomaterials.3c00633
Database	MEDical Literature Analysis and Retrieval System OnLINE

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