Selection of Representative Constituents for Unknown, Variable, Complex, or Biological Origin Substance Assessment Based on Hierarchical Clustering

2021 ◽  
Author(s):  
Darina G. Yordanova ◽  
Timothy J. Patterson ◽  
Colin M. North ◽  
Louise Camenzuli ◽  
Atanas S. Chapkanov ◽  
...  
Keyword(s):  
Hierarchical Clustering ◽  
Biological Origin ◽  
Unknown Variable ◽  
Selection Of

scholarly journals Network Analysis Based on Unique Spectral Features Enables an Efficient Selection of Genomically Diverse Operational Isolation Units

2021 ◽  
Vol 9 (2) ◽  
pp. 416
Author(s):  
Charles Dumolin ◽  
Charlotte Peeters ◽  
Evelien De Canck ◽  
Nico Boon ◽  
Peter Vandamme
Keyword(s):  
Network Analysis ◽  
Hierarchical Clustering ◽  
Mass Spectra ◽  
Spectral Features ◽  
Maldi Tof ◽  
Maldi Tof Mass Spectra ◽  
Diversity Studies ◽  
Technical Sample ◽  
Efficient Selection ◽  
Selection Of

Culturomics-based bacterial diversity studies benefit from the implementation of MALDI-TOF MS to remove genomically redundant isolates from isolate collections. We previously introduced SPeDE, a novel tool designed to dereplicate spectral datasets at an infraspecific level into operational isolation units (OIUs) based on unique spectral features. However, biological and technical variation may result in methodology-induced differences in MALDI-TOF mass spectra and hence provoke the detection of genomically redundant OIUs. In the present study, we used three datasets to analyze to which extent hierarchical clustering and network analysis allowed to eliminate redundant OIUs obtained through biological and technical sample variation and to describe the diversity within a set of spectra obtained from 134 unknown soil isolates. Overall, network analysis based on unique spectral features in MALDI-TOF mass spectra enabled a superior selection of genomically diverse OIUs compared to hierarchical clustering analysis and provided a better understanding of the inter-OIU relationships.

scholarly journals A GIS Anchored System for Selection of Utility Service Stations through Hierarchical Clustering

2013 ◽  
Vol 10 ◽  
pp. 762-772 ◽  
Author(s):  
Anirban Chakraborty ◽  
J.K. Mandal ◽  
S.B. Chandrabanshi ◽  
S. Sarkar
Keyword(s):  
Hierarchical Clustering ◽  
Service Stations ◽  
Selection Of

scholarly journals Investigation of daily covering material for biocells

2014 ◽  
Vol 51 (1) ◽  
pp. 44-53
Author(s):  
R. Bendere ◽  
R. Smigins ◽  
O. Medne ◽  
L. Berzina- Cimdina ◽  
K. Rugele
Keyword(s):  
European Union ◽  
Biogas Production ◽  
Biological Origin ◽  
Anaerobic Processes ◽  
Physical Chemical ◽  
Covering Material ◽  
A Cell ◽  
Pre Treatment ◽  
Biological Methods ◽  
Selection Of

Abstract Bioreactor landfilling, with the acceptance of landfill Directive 1999/31/EC has lost its actuality in European Union; at the same time, this method can still be used for acceleration of biowaste degradation and biogas production. One of the possibilities to reduce the disposal of biowaste is to use biocells for its anaerobic pre-treatment before landfilling. The daily filling up of such a cell requires isolation of the main volume to limit gas emissions, reduce smells, etc. Bioprocesses that are of the utmost importance for biocell treatment are often not taken into account in selection of materials to be used as daily landfill covers. Based on physical, chemical and biological methods the investigations have been carried out into different covering materials offered in the market, with identification of parameters that are the most important for daily covering the biocells. It is found that the materials fitted best this purpose should be of biological origin and consist of small bio-particles with large surface, without the inhibitors of anaerobic processes such as sulphuric compounds.

Research on Fault Diagnosis Method of Steam Turbine Unit Based on the Theory of Super Ball

2014 ◽  
Vol 496-500 ◽  
pp. 953-957
Author(s):  
Xiao Wen Deng ◽  
Yan Peng Han ◽  
Cheng Cheng Wang ◽  
Yu Jiong Gu
Keyword(s):  
Fault Diagnosis ◽  
Steam Turbine ◽  
Hierarchical Clustering ◽  
Turbine Unit ◽  
Thermal Parameters ◽  
Steam Turbine Unit ◽  
Diagnosis Method ◽  
Density Clustering ◽  
Selection Of

A fault diagnosis method of steam turbine based on the theory of super ball is proposed, which combines density clustering with hierarchical clustering. The correlation of vibration and thermal parameters is introduced as the clustering factors. The efficiency of diagnosis,the sensitivity of noise and the accuracy of diagnosis are improved. Experiments show that the method and the selection of clustering factor are feasible.

Principal Component and Genetic Diversity Analysis for Seed Yield and Its Related Components in the Genotypes of Chickpea (Cicer arietinum L.)

2021 ◽  
Author(s):  
S.K. Jain ◽  
L.D. Sharma ◽  
K.C. Gupta ◽  
Vipin Kumar ◽  
R.S. Sharma
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Total Variation ◽  
Hierarchical Clustering ◽  
Seed Yield ◽  
Block Design ◽  
Principal Component ◽  
Experimental Unit ◽  
Component Traits ◽  
Selection Of

Background: The seed yield of chickpea can be improved by selection of superior genotypes on the basis of different yield and yield component traits. These genotypes exclusively utilize in breeding programs. Yield is a complex trait which is affected by several factors, hence, a well-known technique known as principal component analysis was used to identify and minimize the number of traits for effective selection. To obtain efficient recombinants, the identified component traits need to be combined from diverse parents through recombination breeding followed by selection of transgressive segregants. Hence, the present study is envisaged to measure the genetic diversity among genotypes of chickpea.Methods: The experimental material comprised of 40 chickpea genotypes evaluated in randomized block design with three replications. The experimental unit was four rows per plot with 4 m length and spacing between row to row and plant to plant maintained as 30 x 10 cm. NPK (20:40:00) fertilizers was applied as basal doses. The data were recorded for each genotype on nine quantitative traits as per standard methods. Descriptive statistics and PCA analysis was performed by using the statistical package SPSS 16.0 version and cluster analysis was done using the Wards method of hierarchical clustering technique.Result: Out of nine PCs only three PCs exhibited more than 1.0 Eigen value and showed about 73.4% variability. PC1 contributed 28.6% of the total variation and correlated with days to flowering, days to maturity, plant height, first pod height, seeds per pod and number of pods per plant while PC2 explained 21.00% of the total variation and dominated by plant height, first pod height and seed yield. PC3 explained an additional 13.00% of the total variation and dominated by primary branches per plant. Genotype commonly found in more PC, were BG 4016, IPCB 2015-165, IPC 2011-247, GNG2459 and RKG 19-4. Hierarchical clustering technique grouped 40 genotypes into two main clusters (A and B) and nine sub clusters. The present investigation depicted that the chickpea germplasm displayed considerable genetic diversity for most of the traits under consideration. 

scholarly journals SOME THEORETICAL AND EXPERIMENTAL FACTS CONCERNING LASER INTERACTION WITH MATERIALS OF BIOLOGICAL ORIGIN

2015 ◽  
Vol 5 (1) ◽  
pp. 534-551
Author(s):  
Sanja Damjan Jevtic ◽  
Milesa Zivko Sreckovic ◽  
Nebojsa` Mitrovic ◽  
Predrag Branko Jovanic ◽  
Zoran Latinovic ◽  
...  
Keyword(s):  
Optical Constants ◽  
Visible Spectrum ◽  
Laser Interaction ◽  
Biological Origin ◽  
Spectral Coefficients ◽  
Material Detection ◽  
Characterization Of Materials ◽  
Selection Of ◽  
Detection And Recognition

This paper deals with characterization of materials, by the use of objective descriptions of material’s optical properties. Here the materials of biological origin were tested. Authors presented their selection of the optical constants for the purpose of material detection and recognition. For plants of interest in medicine and pharmacy (root, fruit and leaves), in their most commonly used state – powders, spectral coefficients of reflection in visible spectrum portion were measured. Depending on measurements using correlation methods, chosen groups of parameters were obtained, that could help determine presence of certain species. For characteristic spectra and plant species, certain laser wavelengths were evaluated in the light of being most suitable for distinguishing presence of plants. As second valuable fact, reflection coefficient in bio stimulation determines the level of power (power density, dose, etc) which laser really transfers to the system.

scholarly journals Microscopic analysis of "prato", "mussarela" and "mineiro" cheese sold in street markets of the City of S. Paulo, Southeastern Brazil

1997 ◽  
Vol 31 (3) ◽  
pp. 296-301 ◽  
Author(s):  
Marlene Correia ◽  
Maria José Roncada
Keyword(s):  
Statistical Model ◽  
Latin Square ◽  
Microscopic Analysis ◽  
Southeastern Brazil ◽  
Food Markets ◽  
Biological Origin ◽  
Food Legislation ◽  
The City ◽  
Hygienic Conditions ◽  
Selection Of

INTRODUCTION: Cheese should be produced from ingredients of good quality and processed under hygienic conditions. Further, cheese should be transported, stored and sold in an appropriate manner in order to avoid, among other things, the incorporation of extraneous materials (filth) of biological origin or otherwise, in contravention of the relevant food legislation. The aim of the study was to evaluate the hygienic conditions of "prato", "mussarela", and "mineiro" cheeses sold at the street food markets in the city of S. Paulo, Brazil. MATERIALS AND METHOD: Forty-seven samples of each of the three types of cheese were collected during the period from March, 1993 to February, 1994. The Latin square was used as a statistical model for sampling and random selection of the street markets from which to collect the cheese samples. The samples were analysed for the presence of extraneous matters outside for which purpose the samples were washed and filtered and inside, for which the methodology of enzymathic digestion of the sample with pancreatine, followed by filtering,was used. RESULTS AND CONCLUSION: Of the 141 samples analysed, 75.9% exhibited at least one sort of extraneous matters. For the "prato" and "mussarela" cheeses, the high number of contaminated samples was due mainly to extraneous matters present inside the cheese, whereas in the "mineiro" cheese, besides the internal filth, 100% of the samples had external filth.

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