TOPOGRAPHIC LINEAMENT PATTERN ANALYSIS AND GEOMORPHOLOGICAL CHARACTERIZATION OF THE ANDORINHAS MOUNTAIN RANGE REGION (PARÁ), USING AW3D30 IMAGES/ANÁLISE DO PADRÃO DE LINEAMENTOS DE RELEVO NA SERRA DAS ANDORINHAS (PARÁ)

2021 ◽  
Vol 2 (2) ◽  
pp. 1-11
Author(s):  
ABRAÃO LEVI DOS SANTOS MASCARENHAS ◽  
MARIA RITA VIDAL ◽  
LEONARDO BRASIL FELIPE
Keyword(s):  
Pattern Analysis ◽  
Mountain Range ◽  
Lineament Pattern

Durante a Era Neoproterozóica, eventos tectônicos de zona de cinturão orogênico (colagem continental), na região geologicamente conhecida como Faixa Araguaia, foram essenciais para a arquitetura das formas de relevo atuais na região da Serra das Andorinhas, SE do Estado do Pará. As atuais formas de relevo mostram a complexidade desses eventos colisionais. As geotecnologias possibilitam a identificação de deformações estruturais através dos SIGs, técnicas de geoprocessamento em imagens AW3D30 foram utilizadas a fim de identificar o padrão de lineamentos de relevo, para auxílio na definição e classificação das unidades geomorfológicas para a região da Serra das Andorinhas. Como resultados foi possível identificar lineamentos rúpteis de orientação preferencial NE, EW e NW, nos quais possibilitaram definir quatros unidades geomorfológicas em consonância com as feições lineares.

scholarly journals Isolation and characterization of escherichia coli in ready-to-eat foods vended in Islamic University, Kushtia

1970 ◽  
Vol 18 ◽  
pp. 99-103 ◽  
Author(s):  
S Biswas ◽  
MAK Parvez ◽  
M Shafiquzzaman ◽  
S Nahar ◽  
MN Rahman
Keyword(s):  
Escherichia Coli ◽  
Pattern Analysis ◽  
University Campus ◽  
Rflp Pattern ◽  
E Coli ◽  
Fish Meat ◽  
Isolation And Characterization ◽  
Food Borne ◽  
Identification And Characterization

Context: Escherichia coli is shed in the feces of warm blooded animals and humans and thus potential for public health. Detection and characterization of E. coli in the ready-to-eat (RTE) foods concerns due to their presence indicates fecal contamination of the food.   Objective: To identify, characterize and RFLP pattern analysis of E. coli isolated from RTE foods vended in Islamic University campus, Kushtia.   Materials and Methods: Fifty samples from four types of consumed foods in six student halls of residence, some temporary restaurants of Islamic University, Kushtia were assessed for bacterial contamination by standard methods. Identification and characterization of E. coli isolates were performed using IMViC tests. Genomic DNA was used to perform RFLP pattern analysis.   Results: Thirty seven out of 50 (74%) examined samples of RTE foods had E. coli contamination. The highest number of E. coli was isolated from vegetable oriented RTE foods (90.90%) and fish, meat and cereals samples were also significantly E. coli positive. RFLP profiling of two E. coli isolates were observed.   Conclusion: The results of this study provide evidence that some RTE foods had unsatisfactory levels of contamination with E. coli. Thus street vended RTE food could be important potential vehicles for food-borne diseases. Molecular characterization may be exploited to identify food borne pathogen among different species.  Keywords: Ready-to-eat foods; Escherichia coli; RFLP pattern DOI: http://dx.doi.org/10.3329/jbs.v18i0.8783 JBS 2010; 18(0): 99-103

Characterization of Stylosanthes introductions by using seed protein patterns

1975 ◽  
Vol 26 (3) ◽  
pp. 467 ◽  
Author(s):  
PJ Robinson ◽  
RG Megarrity
Keyword(s):  
Euclidean Distance ◽  
Seed Protein ◽  
Pattern Analysis ◽  
Polyacrylamide Gel Electrophoresis ◽  
Species Level ◽  
Protein Patterns ◽  
Data Set ◽  
Distance Coefficient ◽  
Selection Of

Seed protein patterns of 182 Stylosanthes accessions, representing 16 species and two hybrids, were obtained by polyacrylamide gel electrophoresis of crude extracts. All species could be recognized by examination of photographs and densitometer traces of the gels. Within the species capitata, guyanensis, hamata and viscosa considerable variation occurred, whilst the variation in humilis, scabra and fruticosa was not as great. Data from the densitometer traces were analysed by various methods of pattern analysis and the resulting classifications compared. A variance-standardized Euclidean distance coefficient was found to be the similarity measure of choice, whilst selection of fusion strategy was not as critical.Species relationships obtained by using the chemical data were not in agreement with the accepted taxonomic division of the genus into the sections Styposanthes and Stylosanthes. A classification based on the complete data set was compared with a working classification based on morphological and agronomic data, which is used in the agronomic assessment of the genus. Only within S. scabra did the two classifications conform. Morphological–agronomic (M–A) types within the species hamata and subsericea could be distinguished by the examination of the fine structure of the densitometer traces, whilst groups based on protein data in the species ahumilis, guyanensis, fruticosa and viscosa did not correspond with M–A groups. The application of seed protein patterns as a rapid and inexpensive means of identifying introductions of the genus at the species level, as well as characterizing types within certain species, is proposed.

Genotype × environment interactions and environmental adaptation. II. Assessment of environmental contributions

1977 ◽  
Vol 28 (2) ◽  
pp. 223 ◽  
Author(s):  
R Shorter ◽  
DE Byth ◽  
VE Mungomery
Keyword(s):  
Variance Components ◽  
Seed Protein ◽  
Pattern Analysis ◽  
Analysis Approach ◽  
General Strategy ◽  
Testing Strategies ◽  
Environmental Interactions ◽  
Relative Line ◽  
Selection Of

A pattern analysis approach, based on classification and ordination, is presented for the characterization of environmental contributions to differences among lines in mean performance and response across environments. Other approaches to the analysis of line performance and environmental interactions are also considered. A population of soybean lines is used to illustrate the analyses for two characters, seed yield and seed protein percentage. In general, correlation of line performance over environments indicated that only moderate similarity of relative line performance existed over years or locations. These associations did not provide a clear basis for rationalization of test sites. Partitioning of variance components allowed a general strategy for sampling environments to be defined. Marked differences existed among environments for their contribution to environmental interaction, and these generally were consistent among locations for the two years of testing. Classificatory and ordination analyses were applied separately, and the contributions of each of the test environments were determined. These procedures confirmed that large differences in line response existed among environments, and provided additional and complementary information about the contributions of particular test environments to those differences. The effect of abandoning particular test sites on the recognition of differences among lines was examined by pattern analysis. The implications of the information gained through the pattern analysis approach in the development of testing strategies, and in the selection of test environments for specific objectives, are discussed.

scholarly journals Molecular Cavity Topological Representation for Pattern Analysis: A NLP Analogy-Based Word2Vec Method

2019 ◽  
Vol 20 (23) ◽  
pp. 6019 ◽  
Author(s):  
Dongliang Guo ◽  
Qiaoqiao Wang ◽  
Meng Liang ◽  
Wei Liu ◽  
Junlan Nie
Keyword(s):  
Molecular Dynamics ◽  
Language Processing ◽  
Pattern Analysis ◽  
Real Data ◽  
Molecular Function ◽  
Topological Representation ◽  
Data Set ◽  
Novel Method ◽  
Topological Characteristics

Cavity analysis in molecular dynamics is important for understanding molecular function. However, analyzing the dynamic pattern of molecular cavities remains a difficult task. In this paper, we propose a novel method to topologically represent molecular cavities by vectorization. First, a characterization of cavities is established through Word2Vec model, based on an analogy between the cavities and natural language processing (NLP) terms. Then, we use some techniques such as dimension reduction and clustering to conduct an exploratory analysis of the vectorized molecular cavity. On a real data set, we demonstrate that our approach is applicable to maintain the topological characteristics of the cavity and can find the change patterns from a large number of cavities.

scholarly journals Genotypic Characterization of Non-O157 Shiga Toxin–Producing Escherichia coli in Beef Abattoirs of Argentina

2011 ◽  
Vol 74 (12) ◽  
pp. 2008-2017 ◽  
Author(s):  
M. O. MASANA ◽  
B. A. D'ASTEK ◽  
P. M. PALLADINO ◽  
L. GALLI ◽  
L. L. DEL CASTILLO ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Hemolytic Uremic Syndrome ◽  
Shiga Toxin ◽  
Pattern Analysis ◽  
Severe Disease ◽  
Pulsed Field Gel Electrophoresis ◽  
Lower Proportion ◽  
Uremic Syndrome ◽  
Sporadic Cases

The non-O157 Shiga toxin–producing Escherichia coli (STEC) contamination in carcasses and feces of 811 bovines in nine beef abattoirs from Argentina was analyzed during a period of 17 months. The feces of 181 (22.3%) bovines were positive for non-O157 STEC, while 73 (9.0%) of the carcasses showed non-O157 STEC contamination. Non-O157 STEC strains isolated from feces (227) and carcasses (80) were characterized. The main serotypes identified were O178:H19, O8:H19, O130:H11, and O113:H21, all of which have produced sporadic cases of hemolytic-uremic syndrome in Argentina and worldwide. Twenty-two (7.2%) strains carried a fully virulent stx/eae/ehxA genotype. Among them, strains of serotypes O103:[H2], O145:NM, and O111:NM represented 4.8% of the isolates. XbaI pulsed-field gel electrophoresis pattern analysis showed 234 different patterns, with 76 strains grouped in 30 clusters. Nine of the clusters grouped strains isolated from feces and from carcasses of the same or different bovines in a lot, while three clusters were comprised of strains distributed in more than one abattoir. Patterns AREXSX01.0157, AREXBX01.0015, and AREXPX01.0013 were identified as 100% compatible with the patterns of one strain isolated from a hemolytic-uremic syndrome case and two strains previously isolated from beef medallions, included in the Argentine PulseNet Database. In this survey, 4.8% (39 of 811) of the bovine carcasses appeared to be contaminated with non-O157 STEC strains potentially capable of producing sporadic human disease, and a lower proportion (0.25%) with strains able to produce outbreaks of severe disease.

scholarly journals Physical-chemical characterization of uranium containing sediments

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Lucia Závodská ◽  
Eva Kosorínová ◽  
Juraj Lesný ◽  
Dušan Bodiš
Keyword(s):  
Chemical Characterization ◽  
Uranium Content ◽  
Stream Sediments ◽  
Uranium Mine ◽  
Mountain Range ◽  
Sequential Fractionation ◽  
Sediment Samples ◽  
Physical Chemical ◽  
Groundwater Outflow

The presented paper is intended to study the chemical behaviour of combined geogenicanthropogenic uranium content in specific stream sediments. The sampling points have been chosen with respect to the natural conditions in the locality of groundwater outflow from a former uranium mine adit in Považský Inovec mountain range, near Kálnica village. Besides the total uranium determination and physical-chemical characterization of the relevant water- and sediment samples we carried out modified Tessier type sequential fractionation extractions of natural- and artificially contaminated sediment samples after time dependent agitation in air and in the atmosphere of argon. The obtained results have been compared with those fulfilled with montmorillonite K-10. The total uranium concentrations of the relevant groundwater samples as well as of stream sediments have been determined by ICP-MS using HP 4500. The determinations of uranium in extracts have been accomplished according STN757614, utilizing arsenazo III as a selective complex forming reagent for spectrophotometric determination of uranyl-ions at 650 nm. The total uranium concentration of the groundwater outflow and in the sediment taken in its immediate vicinity has been 31.75±0.35 μg dm-3 and 38.0±2.7 μg g-1 respectively. Unlike montmorillonit K-10, in which the carbonate-bound fraction of uranium after 1 week aeration and agitation in argon atmosphere represents 22.8% and 18.6% respectively, uranium in investigated sediments has been present predominantly in carbonate-bound fraction-reaching under similar conditions 38.6% and 26.6%, respectively.

Multi-atom pattern analysis for binary superlattices

Soft Matter ◽  
2017 ◽  
Vol 13 (38) ◽  
pp. 6803-6809 ◽  
Author(s):  
Wesley F. Reinhart ◽  
Athanassios Z. Panagiotopoulos
Keyword(s):  
Machine Learning ◽  
Pattern Analysis ◽  
Template Free

We use machine learning to discover inherent relationships between multi-atom patterns, enabling the first template-free characterization of binary superlattices.

Characterization of Secondary Ultrasonic Waves Radiated from Bubbles Based on Small-Bubble Trapping Pattern Analysis

2002 ◽  
Vol 41 (Part 1, No. 5B) ◽  
pp. 3559-3562 ◽  
Author(s):  
Yoshiki Yamakoshi ◽  
Yoshiyuki Ozawa ◽  
Nader Chelly ◽  
Yasushi Kurita ◽  
Nobuyuki Masuda
Keyword(s):  
Pattern Analysis ◽  
Ultrasonic Waves ◽  
Small Bubble ◽  
Bubble Trapping
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