نتایج جستجو برای: SGMD

تعداد نتایج: 19  

Journal: :American journal of translational research 2015
Xiao Qiao Xiaolong Tang Jianfu Zhang Ke Chen Yanming Zhang Changcheng Wang Sujuan Fei Jinzhou Zhu Shengping Zhu Zhangbo Liu Tingting Li Shengxiang Lv Yong Liang

AIMS We investigated the effffects and the possible mechanism of microinjection of histamine into cerebellar fastigial nucleus (FN) on stress-induced gastric mucosal damage (SGMD) in rats. The effect of microinjection of histamine into FN on SGMD was observed. METHODS The model of SGMD was established by restraint and water (21 ± 1°C)-immersion (RWI) for 3 h in rats. The gastric mucosal damag...

Journal: :Nucleic acids research 2004
Nadim W. Alkharouf Benjamin F. Matthews

The Soybean Genomics and Microarray Database (SGMD) attempts to provide an integrated view of the interaction of soybean with the soybean cyst nematode and contains genomic, EST and microarray data with embedded analytical tools allowing correlation of soybean ESTs with their gene expression profiles. SGMD provides analytical tools to mine the microarray data quickly by integrating many analysi...

Journal: :International Journal of Low-carbon Technologies 2023

Abstract This work presents an experimental validation of MD unit coupled with a sweeping gas membrane (SGMD) using solar energy distillation energy. station is installed at the University Kairouan in Tunisia. SGMD least used (MD) configuration, and it very expensive to build. completely remove solutions containing non-volatile compounds such as salts recover only high-purity water. A theoretic...

2014
Shuaifei Zhao Paul H.M. Feron Zongli Xie Jianhua Zhang Manh Hoang

Vapor transfer is an important phenomenon in various thermally driven membrane processes such as membrane distillation (MD), membrane evaporation and membrane condensation. In this study, we explore the mass transfer phenomena in sweeping gas membrane distillation (SGMD) by systematically investigating the effects of operational parameters on the process performance. It is found that mass trans...

In this work, sweeping gas membrane distillation (SGMD) process was used for concentrating of glucose syrup. The main questions in this work include: is SGMD process practical for concentrating of glucose solution prior the fermentation step in bioethanol process?. and are the commercially available hydrophobic membranes sufficient enough to develop the SGMD process in pilot scale for this issu...

Journal: :Energies 2021

Symplectic geometric mode decomposition (SGMD) is a newly proposed signal processing method. Because of its superiority, it has gained more and attention in the field fault diagnosis. However, similar component reorganization problem involved this method not been clearly stated. Aiming at problem, paper proposes SGMD-CS based on SGMD cosine similarity (CS) compared verified simulation actual ro...

2002
Ioan Andricioaei Aaron R. Dinner Martin Karplus

In the self-guided molecular dynamics ~SGMD! simulation method, a continuously updated average force is used to bias the motions of the system. The method appears to sample the configuration space of a number of complex systems more efficiently than ordinary molecular dynamics, and it was argued that it yields canonical averages of observable quantities with only negligible errors. We analyze t...

Journal: :Journal of Marine Science and Engineering 2023

The marine controlled-source electromagnetic (CSEM) method is an efficient tool for hydrocarbon exploration. amplitudes of signals decay rapidly with the increasing offset, so are easily contaminated by various kinds noise. A denoising critical to improve data quality, but diversity noise makes difficult. Specific frequency transmitted exploration requirements, and thus traditional filtering me...

Journal: :Sensors 2023

Extracting the fault characteristic information of rolling bearings from intense noise disturbance has been a heated research issue. Symplectic geometry mode decomposition (SGMD) already adopted for bearing diagnosis due to its advantages no subjective customization parameters and ability reconstruct existing modes. However, SGMD suffers rapidly decreasing calculation efficiency as amount data ...

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