Comparison between EDXRF spectral data and elemental data for soil attributes modelling

2021 ◽  
pp. 106303
Author(s):  
Felipe Rodrigues dos Santos ◽  
José Francirlei de Oliveira ◽  
Graziela M.C. Barbosa ◽  
Fábio Luiz Melquiades
Keyword(s):  
Spectral Data ◽  
Soil Attributes ◽  
Elemental Data

scholarly journals Synthesis, Characterization, and Antibacterial Activity of Co(II), Ni(II), Cu(II), Zn(II), Cd(II), and Hg(II) Complexes of Schiff's Base Type Ligands Containing Benzofuran Moiety

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
N. Shashidhar Reddy ◽  
B. S. Shankara ◽  
P. Murali Krishana ◽  
C. Basavaraj ◽  
B. Mahesh
Keyword(s):  
Antibacterial Activity ◽  
Metal Ions ◽  
Spectral Data ◽  
General Formula ◽  
Elemental Analysis ◽  
Magnetic Moments ◽  
Good Activity ◽  
Schiff’S Base ◽  
Elemental Data ◽  
Cu Complexes

Six new complexes of Co(II), Ni(II), Cu(II), Zn(II), Cd(II), and Hg(II) with substituted benzofuran derivatives have been synthesized and characterized by elemental analysis, magnetic moments, conductance measurements, spectral characterization, and so forth. Elemental data coincide with the general formula MLC1n, where L = (E)-7-Methoxy-N1-(2,4,5-trimethoxy benzylidene) benzofuran-2-carbohydrazide (L1) or (E)-N1-(2,6-dichloro benzylidene)-7-methoxy benzofuran-2-carbohydrazide (L2), of the complexes. The ligands coordinate to the metal ions through the oxygen of the carbonyl group and the nitrogen of the hydrazine group. Electronic spectral data of the complexes suggests the probable geometry is octahedral in nature. All the complexes and ligands were screened for their antibacterial activity. Among them, Co, Ni, and Cu complexes of L2 showed good activity against all microbes.

Estimating Pigment Concentrations from Spectral Images Using an Encoder‐Decoder Neural Network

2020 ◽  
Vol 64 (3) ◽  
pp. 30502-1-30502-15
Author(s):  
Kensuke Fukumoto ◽  
Norimichi Tsumura ◽  
Roy Berns
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Absorption Coefficient ◽  
Spectral Data ◽  
High Accuracy ◽  
Pigment Concentration ◽  
Scattering Coefficient ◽  
A Value ◽  
Input And Output ◽  
Pigment Concentrations

Abstract A method is proposed to estimate the concentration of pigments mixed in a painting, using the encoder‐decoder model of neural networks. The model is trained to output a value that is the same as its input, and its middle output extracts a certain feature as compressed information about the input. In this instance, the input and output are spectral data of a painting. The model is trained with pigment concentration as the middle output. A dataset containing the scattering coefficient and absorption coefficient of each of 19 pigments was used. The Kubelka‐Munk theory was applied to the coefficients to obtain many patterns of synthetic spectral data, which were used for training. The proposed method was tested using spectral images of 33 paintings, which showed that the method estimates, with high accuracy, the concentrations that have a similar spectrum of the target pigments.

Physico-Chemical Properties of Soil Collected from Chandrabhaga River in Kalmeshwar, Nagpur, Maharashtra

2020 ◽  
Vol 07 (02) ◽  
pp. 1-3
Author(s):  
Amita M Watkar ◽  
Keyword(s):  
Organic Matter ◽  
Soil Quality ◽  
Agricultural Land ◽  
Organic Matter Content ◽  
Chemical Properties ◽  
Matter Content ◽  
Soil Attributes ◽  
Essential Components ◽  
Agricultural Land Management ◽  
Physical And Chemical

Soil, itself means Soul of Infinite Life. Soil is the naturally occurring unconsolidated or loose covering on the earth’s surface. Physical properties depend upon the amount, size, shape, arrangement, and mineral composition of soil particles. It also depends on the organic matter content and pore spaces. Chemical properties depend on the Inorganic and organic matter present in the soil. Soils are the essential components of the environment and foundation resources for nearly all types of land use, besides being the most important component of sustainable agriculture. Therefore, assessment of soil quality and its direction of change with time is an ideal and primary indicator of sustainable agricultural land management. Soil quality indicators refer to measurable soil attributes that influence the capacity of a soil to function, within the limits imposed by the ecosystem, to preserve biological productivity and environmental quality and promote plant, animal and human health. The present study is to assess these soil attributes such as physical and chemical properties season-wise.

Detection of potential aircraft icing regions with GOES multi-spectral data

1997 ◽  
Author(s):  
Gary Ellrod ◽  
James Nelson, III ◽  
Gary Ellrod ◽  
James Nelson, III
Keyword(s):  
Spectral Data ◽  
Aircraft Icing

A General Convergent Strategy for the Synthesis of Tetrasubstituted Furan Fatty Acids (FuFAs)

2019 ◽  
Author(s):  
Yamin Wang ◽  
Gareth Pritchard ◽  
Marc Kimber
Keyword(s):  
Fatty Acids ◽  
Spectral Data ◽  
Synthetic Route ◽  
Furan Fatty Acids

Synthetic route for the synthesis of tetrasubstituted furan fatty acids; including experimental details, characterisation, and spectral data of all intermediates.

Synthesis and Spectral Characterization of New S-Alkylated 1,2,4-Triazoles as Potential Biological Agents

2017 ◽  
Vol 68 (10) ◽  
pp. 2436-2439
Author(s):  
Stefania Felicia Barbuceanu ◽  
Laura Ileana Socea ◽  
Constantin Draghici ◽  
Elena Mihaela Pahontu ◽  
Theodora Venera Apostol ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Spectral Data ◽  
1H Nmr ◽  
Elemental Analysis ◽  
13C Nmr ◽  
Ethyl Bromide ◽  
Spectral Characterization ◽  
Basic Medium ◽  
Phenacyl Bromide

In the work we presented the behavior of 5-(4-(4-X-phenylsulfonyl)phenyl)-4-(n-propyl)-2H-1,2,4-triazole-3(4H)-thiones (X= Cl or Br) with some alkylation agents. Thus, new S-alkylated 1,2,4-triazole derivatives were synthesized by reaction of the corresponding 1,2,4-triazole-3-thione derivatives with different �-halogenated compounds (ethyl bromide, ethyl chloroacetate or phenacyl bromide), in basic medium. The structures of synthesized compounds were elucidated by spectral data (1H-NMR, 13C-NMR, mass spectrometry) and elemental analysis.

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