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A Method for Missing Data Recovery of Air Pollutants Monitoring in Henhouse Based on QGSA-SVM
Jinming Liu,Qiuju Xie,Guiyang Liu,Yong Sun 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.3
To solve the data missing problem caused by sensor faults during the air pollutants monitoring in henhouse, a method for missing data recovery was proposed based on support vector machine (SVM). Multiple factors that influence monitoring values of the air pollutants in henhouse, such as temporal, spatial and environmental, were considered to established a SVM regression model to estimate the missing data of the air pollutants monitoring. Meanwhile, to obtain better prediction accuracy, regression model parameters were optimized by a novel hybrid optimization algorithm which was combined standard genetic algorithm with quantum genetic strategy and simulated annealing tactics. Taking the data processing of the ammonia (NH3) concentration as an example, the proposed method was tested with the monitoring data of 3 days in a farm. The estimation results of missing data shown that there was a litter error between the estimated data and monitoring data, the maximal relative error was 5.87% (percent), the average relative error was 1.77% (percent). It is verified that this method of missing data recovery is feasible and valid.
A Method for Missing Data Recovery of Waste Gas Monitoring in Animal Building Based on GA-SVM
Jinming Liu,Qiuju Xie,Yuanyuan Zhang 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.5
In order to solve the data missing problem caused by sensor faults during the waste gas monitoring in animal building, a method for missing data recovery was presented based on support vector machine (SVM) combined with genetic algorithm (GA). Multiple factors that influence monitoring values of the waste gas in animal building such as temporal, spatial and environmental, were considered to established a SVM regression prediction model to estimate the missing data of the waste gas monitoring. Meanwhile, to obtain better prediction accuracy, model parameters were optimized by the GA. The data processing of the ammonia (NH3) concentration was taken as an example; monitoring data of 3 days were randomly selected in a farm to test the presented model in this paper. It is shown that there was a very little error between the estimated data and the monitoring data, the maximal relative error was 6.99 % (percent), and the average relative error was 2.15 % (percent). It is an effective method for missing data recovery and a practical way of data processing for waste gas monitoring in animal building.
Current utilization of waste biomass as filler for wood adhesives: A review
Jinming Liu,Yongfeng Li,Hailin Mo,Enjun Xie,Jianlin Fang,Weixing Gan 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.115 No.-
Filler is one of the most important additives for wood adhesives. The introduction of filler offers variousfunctions for wood adhesives, such as the increase of initial viscosity, the decrease of permeability, theimprovement of bonding strength, and the reduction of production cost. However, flour, a grain resource,is widely used as a filler that is added to polymers in the production of wood-based panels. As a result, alarge number of edible resources are wasted every year. Waste biomass that biomass residues are abandonedin nature are a promising filler that can be used to replace flour. The utilization of waste biomass asfiller for wood adhesives to prepare wood-based panels not only improves its mechanical strength, butalso reduces formaldehyde emissions. However, most waste biomass shows disappointing prepressingproperties. Advances in the use of waste biomass as an alternative filler for wood adhesives werereviewed. In addition, the current limitations and future prospects of waste biomass were discussed. Recycling waste biomass is a useful way to avoid the enormous amount of waste generated by differentindustries and control environmental pollution. It contributes to the practical development of circulareconomy.
Caspase-3 inhibitor inhibits enterovirus D68 production
Wenbo Huo,Jinghua Yu,Chunyu Liu,Ting Wu,Yue Wang,Xiangling Meng,Fengmei Song,Shuxia Zhang,Ying Su,Yumeng Liu,Jinming Liu,Xiaoyan Yu,Shucheng Hua 한국미생물학회 2020 The journal of microbiology Vol.58 No.9
Enterovirus D68 (EVD68) is an emerging pathogen that recently caused a large worldwide outbreak of severe respiratory disease in children. However, the relationship between EVD68 and host cells remains unclear. Caspases are involved in cell death, immune response, and even viral production. We found that caspase-3 was activated during EVD68 replication to induce apoptosis. Caspase-3 inhibitor (Z-DEVDFMK) inhibited viral production, protected host cells from the cytopathic effects of EVD68 infection, and prevented EVD68 from regulating the host cell cycle at G0/G1. Meanwhile, caspase-3 activator (PAC-1) increased EVD68 production. EVD68 infection therefore activates caspase-3 for virus production. This knowledge provides a potential direction for the prevention and treatment of disease related to EVD68.
EMP3 Overexpression in Primary Breast Carcinomas is not Associated with Epigenetic Aberrations
Wei Zhou,Jinming Yu,Zheng Jiang,Xingang Li,Fenghua Xu,Yanbing Liu,Peie Wen,Li Kong,Ming Hou,Jinming Yu 대한의학회 2009 Journal of Korean medical science Vol.24 No.1
Epithelial membrane protein 3 (EMP3) is a trans-membrane signaling molecule with important roles in the regulation of apoptosis, differentiation and invasion of cancer cells, but the detailed is largely still unknown. We analyzed the mRNA levels and methylation statuses of EMP3 in 63 primary breast carcinomas and assessed their correlations with clinicopathologic variables. The expression of EMP3 mRNA in primary breast carcinomas was significantly higher than the expression of 20 normal breast tissues (p<10-7). EMP3 overexpression in breast carcinomas was significantly related to histological grade III (p=3.9×10-7), lymph node metastasis (p= 0.003), and strong Her-2 expression (p=3.3×10-6). Hypermethylation frequencies of EMP3 were detected in 36.5% of breast carcinomas by methylation-specific polymerase chain reaction. However, no significant correlations were found between methylation status of EMP3 and mRNA expression levels as well as other clinical parameters. In conclusion, EMP3 may be a novel marker of tumor aggressiveness. Overexpression of EMP3 in primary breast carcinoma is not associated with DNA methylation.
Hui Chen,Jinming Liu,Bin Wang,Yongjun Li 대한약학회 2020 Archives of Pharmacal Research Vol.43 No.12
Long non-coding RNAs (lncRNAs) are boundup with the regulation of various diseases. Here, we probedinto the effect of lncRNA colorectal neoplasia differentiallyexpressed (CRNDE) on heart failure (HF). The pathologicalalterations and cell apoptosis of heart tissues were observedby hematoxylin–eosin and TUNEL staining. The viabilityor apoptosis of mouse myocardial cells HL-1 was tested byXTT or flow cytometry. The interaction between lncRNACRNDE and poly-ADP-ribose polymerase 1 (PARP-1) wasverified by RNA immunoprecipitation and RNA pull-down. The stability of the PARP-1 protein and the acetylation levelof high mobility group box-1 (HMGB1) were determined bycycloheximide-chase and immunoprecipitation, respectively. LncRNA CRNDE expression was decreased in HF micetissues and doxorubicin (Dox)-treated HL-1 cells, whereasPARP-1 and HMGB1 were increased. The overexpressionof lncRNA CRNDE restrained HL-1 cell apoptosis inducedby Dox. Moreover, the interaction between CRNDE andPARP-1 was corroborated, CRNDE negatively regulatedPARP-1 expression, and the overexpression of CRNDEreduced PARP-1 protein stability. In HL-1 cells, PARP-1positively regulated the acetylation level and cytoplasmtranslocation of HMGB1. CRNDE restrained Dox-inducedapoptosis in mouse myocardial cells via the PARP-1/HMGB1 pathway.
The Research of Intelligent Irrigation Control System of Rice in Cold Region
Na Wang,Jinming Liu 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.9
In traditional way of rice irrigation in the Heilongjiang region,there are many problems such as huge consumption of water, complex wiring and cold water harm. To improve these problems, the intelligent irrigation control system based on PLC and configuration software is designed. The data acquisition and monitoring of water level and water temperature and other parameters are carried through the wireless transmission with PLC as the core, to decide whether irrigation and drainage. In order to solve the problem of cold water harm of rice,the water of Sun pool is heated by solar heating system. The use of solar panels and batteries for power supply of each part, solve the problem of large power loss. The application proves that the system has a positive effect on water—saving and improving the quality and yield of rice, improving the intelligent of irrigation system.