Jin Yuan

Prof. Jin Yuan

School of Mechanical and Electronic Engineering, Shandong Agriculture University, Taian 271018, China
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2021 in Information Processing in Agriculture
Verified
Journal Article
Open access
SWShanping Wang
Shanping Wang
LYLi Yang
Li Yang
Jin YuanJin Yuan
Jin Yuan
LSLaiqi Song
Laiqi Song
XLXinghua Liu
Xinghua Liu
XLXuemei Liu
Xuemei Liu

1 July 2023 in Agriculture
Verified
Journal Article
Open access
PDF file
Jin YuanJin Yuan
Jin Yuan
WJWei Ji
Wei Ji
Qingchun FengQingchun Feng
Qingchun Feng
The global agriculture faces critical pressures, including an aging population, rising production costs, and labor shortages

8 July 2022 in Agriculture
Verified
Journal Article
Open access
PDF file
SYShuzhen Yang
Shuzhen Yang
BJBocai Jia
Bocai Jia
TYTao Yu
Tao Yu
Jin YuanJin Yuan
Jin Yuan
In view of the difficulties of fruit cluster identification, the specific harvesting sequence constraints of aggregated fruits, and the balanced harvesting task assignment for the multiple arms with a series-increasing symmetric shared (SISS) region, this paper proposes a multi-objective optimization algorithm, which combines genetic algorithm (GA) and ant colony optimization (ACO) stepwise, to optimize the multiarm cooperative harvesting trajectory of straw-rotting fungus to effectively improve the harvesting efficiency and the success rate of non-destructive harvesting. In this approach, firstly, the multiarm trajectory optimization problem is abstracted as a multiple travelling salesman problem (MTSP). Secondly, an improved local density clustering algorithm is designed to identify the cluster fruits to prepare data for harvesting aggregated fruits in a specific order later. Thirdly, the MTSP has been decomposed into M independent TSP (traveling salesman problem) problems by using GA, in which a new DNA (deoxyribonucleic acid) assignment rule is designed to resolve the problem of the average distribution of multiarm harvesting tasks with the SISS region. Then, the improved ant colony algorithm, combined with the auction mechanism, is adopted to achieve the shortest trajectory of each arm, which settles the difficulty that the clustered mature fruits should be harvested in a specified order. The experiments show that it can search for a relatively stable optimal solution in a relatively short time. The average harvesting efficiency is up to 1183 pcs/h and the average harvesting success rate is about 97%. Therefore, the proposed algorithm can better plan the harvesting trajectory for multiarm intelligent harvesting, especially for areas with many aggregated fruits.

18 June 2015 in Advances in Manufacturing
Verified
Journal Article
Closed access
PDF file
GFGuang-Hua Fu
Guang-Hua Fu
XLXue-Mei Liu
Xue-Mei Liu
YCYan-Fu Chen
Yan-Fu Chen
Jin YuanJin Yuan
Jin Yuan

22 March 2024 in Computers and Electronics in Agriculture
Verified
Journal Article
Closed access
PZPing Zhang
Ping Zhang
NDNianzu Dai
Nianzu Dai
JYJin Yuan
Jin Yuan
Jin YuanJin Yuan
Jin Yuan
ZXZhenbo Xin
Zhenbo Xin

18 October 2021 in Chinese Medicine
Verified
Journal Article
Open access
PDF file
RNRui-Ze Niu
Rui-Ze Niu
LXLiulin Xiong
Liulin Xiong
HZHao-Li Zhou
Hao-Li Zhou
LXLu-Lu Xue
Lu-Lu Xue
QXQing-Jie Xia
Qing-Jie Xia
LJLiu Jia
Liu Jia
Background: Neonatal hypoxic-ischemic encephalopathy (HIE) refers to the perinatal asphyxia caused by the cerebral hypoxic-ischemic injury. The current study was aimed at investigating the therapeutic efficacy of Scutellarin (Scu) administration on neurological impairments induced by hypoxic-ischemic injury and exploring the underlying mechanisms.Methods: Primary cortical neurons were cultured and subjected to oxygen–glucose deprivation (OGD), and then treated with Scu administration. The growth status of neurons was observed by immunofluorescence staining of TUJ1 and TUNEL. Besides, the mRNA level of growth-associated protein 43 (GAP43) in OGD neurons with Scu treatment was detected by quantitative real-time polymerase chain reaction (qRT-PCR). To further verify the role of GAP43 in Scu treatment, GAP43 siRNA and knockout were applied in vitro and in vivo. Moreover, behavioral evaluations were performed to elucidate the function of GAP43 in the Scu-ameliorated long-term neurological impairments caused by HI insult. The underlying biological mechanism of Scu treatment was further elucidated via network pharmacological analysis. Finally, the interactive genes with GAP43 were identified by Gene MANIA and further validated by qRT-PCR.Results: Our data demonstrated that Scu treatment increased the number of neurons and axon growth, and suppressed cell apoptosis in vitro. And the expression of GAP43 was downregulated after OGD, but reversed by Scu administration. Besides, GAP43 silencing aggravated the Scu-ameliorated neuronal death and axonal damage. Meanwhile, GAP43 knockout enlarged brain infarct area and deteriorated the cognitive and motor dysfunctions of HI rats. Further, network pharmacological analysis revealed the drug targets of Scu participated in such biological processes as neuronal death and regulation of neuronal death, and apoptosis-related pathways. GAP43 exhibited close relationship with PTN, JAK2 and STAT3, and GAP43 silencing upregulated the levels of PTN, JAK2 and STAT3.Conclusions: Collectively, our findings revealed Scu treatment attenuated long-term neurological impairments after HI by suppressing neuronal death and enhancing neurite elongation through GAP43-dependent pathway. The crucial role of Scutellarin in neuroprotection provided a novel possible therapeutic agent for the treatment of neonatal HIE.Graphic