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Meiqi Ding

Showing results (1-10 of 17) with videos related to

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Medicine|July 22, 2022
Hyperfibrinolysis secondary to acquired factor XIII deficiency A case reportLingsu Gao, Dengju Li, Meiqi Ding
Chemosphere|April 9, 2023
Insight into the improved photocatalytic removal of tetracycline hydrochloride by constructing cobalt doping in 2D/2D (BiO)<sub>2</sub>CO<sub>3</sub>/BiOCl type-II heterojunctionsHonghong Wang, Shaodong Sun, Meiqi Ding, et al.
Plant Physiology|March 3, 2022
Advances and prospects of rhodopsin-based optogenetics in plant researchYang Zhou, Meiqi Ding, Georg Nagel, et al.
Fish & Shellfish Immunology|November 2, 2023
Micro-algal astaxanthin ameliorates polystyrene microplastics-triggered necroptosis and inflammation by mediating mitochondrial Ca<sup>2+</sup> homeostasis in carp's head kidney lymphocytes (Cyprinus carpio L.)Lei Diao, Meiqi Ding, Hongzhen Sun, et al.
Membranes|April 30, 2021
Extending the Anion Channelrhodopsin-Based Toolbox for Plant OptogeneticsYang Zhou, Meiqi Ding, Xiaodong Duan, et al.
Food Chemistry|December 28, 2023
Characterization of lamb shashliks with different roasting methods by intelligent sensory technologies and GC-MS to simulate human muti-sensation: Based on multimodal deep learningChe Shen, Guanhua Cai, Jiaqi Tian, et al.
Food Chemistry: X|June 30, 2023
Predicting VOCs content and roasting methods of lamb shashliks using deep learning combined with chemometrics and sensory evaluationChe Shen, Yun Cai, Meiqi Ding, et al.
Foods (Basel, Switzerland)|August 26, 2022
Development of a Check-All-That-Apply (CATA) Ballot and Machine Learning for Generation Z Consumers for Innovative Traditional FoodBo Wang, Che Shen, Ting Zhao, et al.
Current Research in Food Science|September 20, 2023
Identifying the quality characteristics of pork floss structure based on deep learning frameworkChe Shen, Meiqi Ding, Xinnan Wu, et al.
Child: Care, Health and Development|November 8, 2023
Psychometric soundness and predictive factors of the NCAST Parent-Child Interaction Teaching Scale in urban Chinese populationMengxue Xu, Meiqi Ding, Wenrui Kong, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Medicine|July 22, 2022
Hyperfibrinolysis secondary to acquired factor XIII deficiency A case reportLingsu Gao, Dengju Li, Meiqi Ding
Chemosphere|April 9, 2023
Insight into the improved photocatalytic removal of tetracycline hydrochloride by constructing cobalt doping in 2D/2D (BiO)<sub>2</sub>CO<sub>3</sub>/BiOCl type-II heterojunctionsHonghong Wang, Shaodong Sun, Meiqi Ding, et al.
Plant Physiology|March 3, 2022
Advances and prospects of rhodopsin-based optogenetics in plant researchYang Zhou, Meiqi Ding, Georg Nagel, et al.
Fish & Shellfish Immunology|November 2, 2023
Micro-algal astaxanthin ameliorates polystyrene microplastics-triggered necroptosis and inflammation by mediating mitochondrial Ca<sup>2+</sup> homeostasis in carp's head kidney lymphocytes (Cyprinus carpio L.)Lei Diao, Meiqi Ding, Hongzhen Sun, et al.
Membranes|April 30, 2021
Extending the Anion Channelrhodopsin-Based Toolbox for Plant OptogeneticsYang Zhou, Meiqi Ding, Xiaodong Duan, et al.
Food Chemistry|December 28, 2023
Characterization of lamb shashliks with different roasting methods by intelligent sensory technologies and GC-MS to simulate human muti-sensation: Based on multimodal deep learningChe Shen, Guanhua Cai, Jiaqi Tian, et al.
Food Chemistry: X|June 30, 2023
Predicting VOCs content and roasting methods of lamb shashliks using deep learning combined with chemometrics and sensory evaluationChe Shen, Yun Cai, Meiqi Ding, et al.
Foods (Basel, Switzerland)|August 26, 2022
Development of a Check-All-That-Apply (CATA) Ballot and Machine Learning for Generation Z Consumers for Innovative Traditional FoodBo Wang, Che Shen, Ting Zhao, et al.
Current Research in Food Science|September 20, 2023
Identifying the quality characteristics of pork floss structure based on deep learning frameworkChe Shen, Meiqi Ding, Xinnan Wu, et al.
Child: Care, Health and Development|November 8, 2023
Psychometric soundness and predictive factors of the NCAST Parent-Child Interaction Teaching Scale in urban Chinese populationMengxue Xu, Meiqi Ding, Wenrui Kong, et al.
Pageof 2