scholarly journals Remediation of Heavy Metal (Cd, Cr, Cu, Co, and Ni) Ions from Kaolinite Clay Using Molecular Micelles Chelators and D-Optimum Experimental Design

2013 ◽  
Vol 04 (08) ◽  
pp. 789-795 ◽  
Author(s):  
Sayo O. Fakayode ◽  
Ashley M. Taylor ◽  
Maya McCoy ◽  
Sri Lanka Owen ◽  
Whitney E. Stapleton ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Experimental Design ◽  
Kaolinite Clay ◽  
Optimum Experimental Design ◽  
Heavy Metal Cd

Effects of clonal integration on growth of stoloniferous herb Centella asiatica suffering from heterogeneous heavy metal Cd2+ stress

2011 ◽  
Vol 35 (8) ◽  
pp. 864-871 ◽  
Author(s):  
Fu-Jun LIU ◽  
Yun-Xiang LI ◽  
Yong-Mei LIAO ◽  
Jin-Song CHEN ◽  
Qiu-Mei QUAN ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Centella Asiatica ◽  
Clonal Integration ◽  
Heavy Metal Cd

scholarly journals Potential of heavy metal cd, pb in affecting non-organic agricultural land levels

2020 ◽  
Vol 1594 ◽  
pp. 012029
Author(s):  
Hening Widowati ◽  
Agus Sutanto ◽  
Achyani ◽  
Fenny Thresia ◽  
Nedi Hendri
Keyword(s):  
Heavy Metal ◽  
Agricultural Land ◽  
Heavy Metal Cd

Cultivar-specific differences in heavy metal (Cd, Cr, Cu, Pb, and Zn) concentrations in water spinach (Ipomoea aquatic ‘Forsk’) grown on metal-contaminated soil

2014 ◽  
Vol 386 (1-2) ◽  
pp. 251-262 ◽  
Author(s):  
BaoYan He ◽  
Ling Ling ◽  
LuYin Zhang ◽  
MengRun Li ◽  
QuSheng Li ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Contaminated Soil ◽  
Water Spinach ◽  
Ipomoea Aquatic ◽  
Heavy Metal Cd

scholarly journals Towards Enhanced Performance of Neural-Network-Based Fault Detection Using an Sequential D-Optimum Experimental Design

2018 ◽  
Vol 8 (8) ◽  
pp. 1290 ◽  
Author(s):  
Beata Mrugalska
Keyword(s):  
Neural Network ◽  
Experimental Design ◽  
Fault Detection ◽  
Network Models ◽  
Neural Model ◽  
Neural Network Models ◽  
Optimum Experimental Design ◽  
The Neural Network ◽  
Adaptive Thresholds ◽  
Linear Neural Network

Increasing expectations of industrial system reliability require development of more effective and robust fault diagnosis methods. The paper presents a framework for quality improvement on the neural model applied for fault detection purposes. In particular, the proposed approach starts with an adaptation of the modified quasi-outer-bounding algorithm towards non-linear neural network models. Subsequently, its convergence is proven using quadratic boundedness paradigm. The obtained algorithm is then equipped with the sequential D-optimum experimental design mechanism allowing gradual reduction of the neural model uncertainty. Finally, an emerging robust fault detection framework on the basis of the neural network uncertainty description as the adaptive thresholds is proposed.

scholarly journals Aluminium induced Intrauterine Growth Retardation - an experimental study

2016 ◽  
Vol 10 (1) ◽  
Author(s):  
Mamoona Nasim
Keyword(s):  
Heavy Metal ◽  
Experimental Study ◽  
Body Weight ◽  
Experimental Design ◽  
Growth And Development ◽  
Intrauterine Growth Retardation ◽  
Control Groups ◽  
Intrauterine Growth ◽  
Aluminum Sulphate ◽  
Pregnant Mice

Present study was carried out to determine the effect of aluminum containing antacid on the intrauterine growth and development of fetus. The duration of exposure was also correlated with the effects on fetal morphology and their weights. Seventy-two pregnant mice were given a daily i.e., dose of 0.7mg/100g of aluminum sulphate for various periods according to the grouping of experimental design. This dose was equivalent to maximum therapeutic dose of aluminum salt for a 70 kg man i.e. 5000mg aluminum/day. Fetal examination was performed on day 20 of gestation. The number of live and dead fetuses in the treated animals was not significantly different from the control groups. Therefore embryo lethality of aluminum cannot be induced. However there was a decrease in fetal body weight that was directly related to the duration of exposure to aluminum sulphate solution. Dissecting microscopic examination showed, the development was arrested in the groups exposed to drugs for longer periods. These results revealed that aluminum is a type of heavy metal, which is teratogenic for mammals even in doses, which are nontoxic for adults.

Competent Heavy Metal Adsorption by Modified MWCNTs and Optimization Process by Experimental Design

2018 ◽  
Vol 144 (11) ◽  
pp. 04018114 ◽  
Author(s):  
Mobina Alimohammady ◽  
Mansour Jahangiri ◽  
Farhoush Kiani ◽  
Hasan Tahermansouri
Keyword(s):  
Heavy Metal ◽  
Experimental Design ◽  
Metal Adsorption ◽  
Optimization Process ◽  
Heavy Metal Adsorption

Influence factor analysis of soil heavy metal Cd based on the GeoDetector

2020 ◽  
Vol 34 (6) ◽  
pp. 921-930
Author(s):  
Yunting Jiang ◽  
Yingjun Sun ◽  
Liping Zhang ◽  
Xvlu Wang
Keyword(s):  
Heavy Metal ◽  
Factor Analysis ◽  
Influence Factor ◽  
Soil Heavy Metal ◽  
Heavy Metal Cd
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