Margin based ontology sparse vector learning algorithm and applied in biology science

Gao, Wei; Baig, Abdul Qudair; Ali, Haidar; Sajjad, Wasim; Farahani, Mohammad Reza

doi:10.1016/j.sjbs.2016.09.001

Cited by 64 publications

(31 citation statements)

References 30 publications

(31 reference statements)

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“…Yang et al (2014) finds that the maximum removal efficiency of the composites for Cu 2+ was to 77.12% after 16 days of cultivation. The result of other studies was consistent with that result and showed there were about 77%-98% removal rate of Cu 2+ in wastewater (Gao et al 2017, Guerrini et al 2018, Deptuch et al 2011, Lu et al 2018). On the other hand, SRB are anaerobic microbes and have different vertical distributions at different depths (Jiang et al 2009, Kondo et al 2012, He et al 2015, Mogensen et al 2005, Gu and Zhang 2018.…”

Section: Introductionsupporting

confidence: 83%

The Study of the Role of Biological Iron Sulfide Composites on Copper Removal by Changing Geochemical Forms

Liang

Lan

Xie

et al. 2019

Rev. Int. Contam. Ambie.

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The growth of biological iron sulfide composites and their efficacy for changing the geochemical forms of copper in sediment have been investigated. The role of bacteria in copper removal was identified using copper concentrations in three forms extracted via three sequential extraction methods. Furthermore, bacterial community diversity was investigated between different treatments. Copper was transformed from the weak acidic extraction state to the reduction state and the oxidation state under the action of biological iron sulfide composites. The conversion rates of copper from the weak acidic extraction state to other states was up to 76.66% and the increasing rates of the reduction state was up to 177.85%. Higher dissolved oxygen does harm sulfate reducing bacteria and results in low removal efficiency of copper. It can be inferred that differences in the bacterial community structure resulted in differences between conversion rates and biological efficacy through the correlation between copper concentration and alpha diversity or beta diversity. Furthermore, bacterial 16S rRNA gene analysis showed that Proteobacteria, which sulfate reducing bacteria belong to, were predominant in the group with higher removal efficiency. The biological iron sulfide composites affected the removal efficiency of copper by increasing the sulfate reducing bacteria activity inside the sediments.

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Section: Introductionsupporting

confidence: 83%

The Study of the Role of Biological Iron Sulfide Composites on Copper Removal by Changing Geochemical Forms

Liang

Lan

Xie

et al. 2019

Rev. Int. Contam. Ambie.

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“…The environment of deep confined water in this regional is closed well. In the reductive environment, under the effect of sulfate reducing bacteria and thermodynamic factors, H 2 S is likely to come into being if it experiences the effect of Bacterial Sulfate Reduction (BSR) or Thermochemical Sulfate Reduction (TSR) (Smith and Philips 1990, Manzano et al 1997, Mingju et al 2012, Machel 2001, Cross et al 2004, He et al 2016, Gao et al 2017, Li et al 2018, Estrada et al 2018, Ahamed et al 2017, Poppenga and Worstell 2016. Its possible reaction formula is shown in formula (1) to formula (4).…”

Section: The Control Effect Of Hydrological Characteristicsmentioning

confidence: 99%

Distribution Characteristics and Control Factors of Hydrogen Sulfide in Xishan Coal Mine of Southern Margin of Junggar Basin in China

Deng

Wu²,

et al. 2019

Rev. Int. Contam. Ambie.

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The regional structure of Xishan coal mine, located in the binding site of southern margin of Junggar basin and northern mountain Tianshan, belongs to the foothill fault-fold structural belt of southern margin of Junggar Basin. Most the coal seams which were formed by continental facies are in the range of medium-extra low sulfur and part of the coal seams belong to high sulfur coal. The hydrogen sulfide in coal seam concentrate anomaly and distribute very unevenly, with the maximum value of H2S up to 2.11%. The gas composition in coal bed mainly are N2 and CH4, components H2S, CO2, C2H6, C3H8 and another heavy hydrocarbon. The mirror reflectance of coal is generally between 0.5% to 0.7%. The abundant source rocks are the strong material basis for the formation of H2S. The pore structure of coalbed belongs to the fracture-pore type. The medium and better reservoir have a wide range of distribution. The proportion of roof microclastic rocks and floor microclastic rocks of coal seam is up to 75% and 87% respectively. These factors are conducive to the enrichment of H2S. The thick aquifer formed in the sag basement, under the control of hydrodynamic block gas, provides a huge space of occurrence and migration for groundwater and H2S. Along the runoff direction, the salinity, pH value and H2S content in regional groundwater gradually increase. The water is rich of sulfate ion, reflecting a closed well of regional deep confined water. In sufficient organic matter and reducing environment, the hydrogen sulfide will come into being in the role of BSR or TSR.

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“…Traditional fullerene is an all-carbon particle in which the iotas are masterminded on a pseudospherical structure made up altogether of pentagons and hexagons. Its subatomic diagram is a finite trivalent chart installed on the [17,18,[28][29][30][31][32][33].…”

Section: Carbon Nanotube Networkmentioning

confidence: 99%

Molecular Descriptors of Nanotube, Oxide, Silicate, and Triangulene Networks

Gao

Siddiqui

2017

Journal of Chemistry

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A topological index is a real number associated with chemical constitution purporting for correlation of chemical structure with various physical properties, chemical reactivity, or biological activity. The concept of hyper Zagreb index, first multiple Zagreb index, second multiple Zagreb index, and Zagreb polynomials was established in chemical graph theory based on vertex degrees. It is reported that these indices are useful in the study of anti-inflammatory activities of certain chemical networks. In this paper, we study carbon nanotube networks which are motivated by molecular structure of regular hexagonal lattice and also studied interconnection networks which are motivated by molecular structure of a chemical compound SiO4. We determine hyper Zagreb index, first multiple Zagreb index, second multiple Zagreb index, and Zagreb polynomials for some important class of carbon nanotube networks, dominating oxide network, dominating silicate network, and regular triangulene oxide network.

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Margin based ontology sparse vector learning algorithm and applied in biology science

Cited by 64 publications

References 30 publications

The Study of the Role of Biological Iron Sulfide Composites on Copper Removal by Changing Geochemical Forms

The Study of the Role of Biological Iron Sulfide Composites on Copper Removal by Changing Geochemical Forms

Distribution Characteristics and Control Factors of Hydrogen Sulfide in Xishan Coal Mine of Southern Margin of Junggar Basin in China

Molecular Descriptors of Nanotube, Oxide, Silicate, and Triangulene Networks

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