Vibrio Related Diseases in Aquaculture and Development of Rapid and Accurate Identification Methods

2012 ◽  
Vol s1 ◽  
Author(s):  
Shruti Chatterjee Soumya Haldar
Keyword(s):  
Accurate Identification ◽  
Identification Methods

scholarly journals Straggler handling approaches in mapreduce framework: a comparative study

2021 ◽  
Vol 11 (1) ◽  
pp. 375
Author(s):  
Anwar H. Katrawi ◽  
Rosni Abdullah ◽  
Mohammed Anbar ◽  
Ibrahim AlShourbaji ◽  
Ammar Kamal Abasi
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Database Systems ◽  
Mapreduce Framework ◽  
Huge Amount ◽  
Accurate Identification ◽  
Big Data Processing ◽  
Identification Methods ◽  
Major Bottleneck ◽  
Different Sources

The proliferation of information technology produces a huge amount of data called big data that cannot be processed by traditional database systems. These Various types of data come from different sources. However, stragglers are a major bottleneck in big data processing, and hence the early detection and accurate identification of stragglers can have important impacts on the performance of big data processing. This work aims to assess five stragglers identification methods: Hadoop native scheduler, LATE Scheduler, Mantri, MonTool, and Dolly. The performance of these techniques was evaluated based on three benchmarked methods: Sort, Grep and WordCount. The results show that the LATE Scheduler performs the best and it would be efficient to obtain better results for stragglers identification.

Strain-GeMS: optimized subspecies identification from microbiome data based on accurate variant modeling

2018 ◽  
Vol 35 (10) ◽  
pp. 1789-1791 ◽  
Author(s):  
Chongyang Tan ◽  
Wei Cui ◽  
Xinping Cui ◽  
Kang Ning
Keyword(s):  
Small Variation ◽  
Supplementary Information ◽  
Accurate Identification ◽  
Identification Methods ◽  
Snp Calling ◽  
Critical Issues ◽  
Different Strains ◽  
Microbiome Data ◽  
Variant Identification

Abstract Motivation Subspecies identification is one of the most critical issues in microbiome studies, as it is directly related to their functions in response to the environmental stress and their feedbacks. However, identification of subspecies remains a challenge largely due to the small variation between different strains within the same species. Accurate identification of subspecies primarily relies on variant identification and categorization through microbiome data. However, current SNP calling and subspecies identification for microbiome data remain underdeveloped. Results In this work, we have proposed Strain-GeMS for subspecies identification from microbiome data, based on solid statistical model for SNP calling, as well as optimized procedure for subspecies identification. Results on simulated, ab initio and in vivo datasets have shown that Strain-GeMS could always generate more accurate results compared with other subspecies identification methods. Availability and implementation Strain-GeMS is available at: https://github.com/HUST-NingKang-Lab/straingems. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Identification methods for campylobacters, helicobacters, and related organisms.

1996 ◽  
Vol 9 (3) ◽  
pp. 405-422 ◽  
Author(s):  
S L On
Keyword(s):  
Accurate Identification ◽  
Diverse Range ◽  
Identification Methods ◽  
Identification Process ◽  
Therapeutic Measures ◽  
Economic Perspectives

The organisms which are referred to as campylobacteria are associated with a diverse range of diseases and habitats and are important from both clinical and economic perspectives. Accurate identification of these organisms is desirable for deciding upon appropriate therapeutic measures, and also for furthering our understanding of their pathology and epidemiology. However, the identification process is made difficult because of the complex and rapidly evolving taxonomy, fastidious nature, and biochemical inertness of these bacteria. These problems have resulted in a proliferation of phenotypic and genotypic methods for identifying members of this group. The purpose of this review is to summarize the problems associated with identifying campylobacteria, critically appraise the methods that have been used for this purpose, and discuss prospects for improvements in this field.

scholarly journals Morphology and Molecular Identification of Twelve Commercial Varieties of Kiwifruit

Molecules ◽  
2019 ◽  
Vol 24 (5) ◽  
pp. 888
Author(s):  
Qiaoli Xie ◽  
Hongbo Zhang ◽  
Fei Yan ◽  
Chunxia Yan ◽  
Shuguang Wei ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Phylogenetic Trees ◽  
Legal Rights ◽  
Quality And Safety ◽  
Actinidia Chinensis ◽  
Nuclear Region ◽  
Dna Barcodes ◽  
Accurate Identification ◽  
Identification Methods ◽  
Relationship Of

The quality and safety of food are important guarantees for the health and legal rights of consumers. As an important special fruitcrop, there are frequently shoddy practices in the kiwifruit (Actinidia chinensis) market, which harms the interests of consumers. However, there is lack of rapid and accurate identification methods for commercial kiwifruit varieties. Here, twelve common commercial varieties of kiwifruit were morphologically discriminated. DNA barcodes of chloroplast regions psbA-trnH, rbcL, matK, rpoB, rpoC1, ycf1b, trnL and rpl32_trnL(UAG), the nuclear region At103 and intergenic region ITS2 were amplified. Divergences and phylogenetic trees were used to analyze the phylogenetic relationship of these twelve commercial kiwifruit varieties. The results showed that matK, ITS2 and rpl32_trnL(UAG) can be utilized as molecular markers to identify CuiYu, JinYan, HuangJinGuo, ChuanHuangJin, HuaYou, YaTe, XuXiang and HongYang. This provides experimental and practical basis to scientifically resolve kiwifruit-related judicial disputes and legal trials.

Species-specific probes for the identification of the African tsetse-transmitted trypanosomes

Parasitology ◽  
2009 ◽  
Vol 136 (12) ◽  
pp. 1501-1507 ◽  
Author(s):  
W. GIBSON
Keyword(s):  
Genetic Diversity ◽  
Phylogenetic Analysis ◽  
Sequence Data ◽  
Quantitative Information ◽  
Morphological Identification ◽  
Trypanosome Species ◽  
Accurate Identification ◽  
Identification Methods ◽  
Detection And Identification ◽  
Species Specific

SUMMARYThe first step in studying the epidemiology of a disease is the accurate identification of the pathogen. Traditional reliance on morphological identification has given way to the use of molecular methods for the detection and identification of pathogens, greatly improving our understanding of epidemiology. For the African tsetse-transmitted trypanosomes, the growth of PCR methods for identification of trypanosomes has led to increased appreciation of trypanosome genetic diversity and discovery of hitherto unknown trypanosome species, as well as greater knowledge about the number and type of trypanosome infections circulating in mammalian hosts and vectors. Sequence data and phylogenetic analysis have provided quantitative information on the relatedness of different trypanosome species and allowed the new trypanosome genotypes discovered through the use of species identification methods in the field to be accurately placed in the phylogenetic tree.

Development of a novel diagonal-weighted Preisach model for rate-independent hysteresis

2016 ◽  
Vol 231 (5) ◽  
pp. 961-976 ◽  
Author(s):  
Phuong-Bac Nguyen ◽  
Seung-Bok Choi ◽  
Byung-Keun Song
Keyword(s):  
Linear Operator ◽  
Preisach Model ◽  
Discrete Elements ◽  
Accurate Identification ◽  
Identification Methods ◽  
Inverted Triangle ◽  
Alternative Approach ◽  
Numerical Interpolation ◽  
Comparative Results

This article develops an alternative approach in modeling a hysteresis using Preisach model. A Preisach model is demonstrated geometrically by an inverted triangle, namely Preisach triangle, which contains an amount of fundamental operators. In a conventional Preisach model, these fundamental operators are ideal relays. Consequently, there exists an inherently discontinuous jump between two consecutive relays. To resolve this problem, in this work, a generalized linear operator is used as the fundamental elements. Correspondingly, its representative Preisach triangle consists of numerous discrete elements whose weight concentrates just along their diagonal. With such approach, it is possible to predict the response of the model according to any input without the aid of numerical interpolation tools. In addition, in this work, to determine the elements’ weights of the model, two accurate identification methods corresponding to two schemes of experimentally biased and unbiased dataset are developed. At last, several simulations and experiments are conducted to assess the effectiveness of the proposed approach showing comparative results with conventional Preisach model.

scholarly journals Classification Schemes and Identification Methods for Urban Functional Zone: A Review of Recent Papers

2021 ◽  
Vol 11 (21) ◽  
pp. 9968
Author(s):  
Baihua Liu ◽  
Yingbin Deng ◽  
Miao Li ◽  
Ji Yang ◽  
Tao Liu
Keyword(s):  
Urban Studies ◽  
Current Status ◽  
Urban Structure ◽  
Accurate Identification ◽  
Identification Methods ◽  
Classification Schemes ◽  
Point Of Interest ◽  
Functional Zone ◽  
Functional Zones ◽  
Common Unit

Urbanization is accelerating due to economic and societal development. The accurate identification of urban functional zones is significant for urban structure optimization, urban planning, and resource allocation. This paper reviews the scholarly literature on urban functional zone identification. Based on the retrieval results of databases, we analyzed the overview and current status. The identification methods and classification schemes are summarized from the existing research. The following results were obtained: (1) point of interest (POI) data are widely used for functional zone identification; (2) the block is the most common unit for functional zone identification; (3) cluster analysis is the main approach for urban functional zone identification; (4) most of the classification schemes are based on the dominant land use and characteristics of data sources. We predict future trends of urban functional zone identification based on the reviewed literature. Our findings are expected to be valuable for urban studies.

scholarly journals Reduction of Uncertainties for Damage Identification of Bridge Based on Fuzzy Nearness and Modal Data

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Hanbing Liu ◽  
Yubo Jiao ◽  
Yongchun Cheng ◽  
Yafeng Gong
Keyword(s):  
Numerical Analysis ◽  
Knowledge Base ◽  
Success Rate ◽  
Damage Identification ◽  
Modal Shape ◽  
Accurate Identification ◽  
Identification Methods ◽  
Modal Data ◽  
Identification Measurements ◽  
Damage Condition

To avoid the false results of deterministic identification methods induced by uncertainties, a fuzzy nearness-based method is proposed for the damage identification of bridge. An improved index based on ratios of modal shape components is used as identification measurements. The knowledge base for damage identification is established through corresponding relationship between fuzzified measurements and damage severities. The damage condition of test samples can be assessed based on approaching principle through fuzzy nearness with rules in knowledge base. A numerical analysis on a multigirder bridge considering uncertainty is presented to demonstrate the effectiveness of the proposed method. The results indicate that the fuzzy nearness-based method can achieve an accurate identification with success rate up to 93.75%. Antinoise analysis and the ability for dealing with incomplete information reveal its robustness.

Immunolabelling of glomerular deposits in kidney biopsies routinely fixed in glutaraldehyde

1989 ◽  
Vol 47 ◽  
pp. 910-911
Author(s):  
Ś Lhoták ◽  
I. Alexopoulou ◽  
G. T. Simon
Keyword(s):  
Uv Light ◽  
Kidney Diseases ◽  
Light Chains ◽  
Microscopical Level ◽  
Accurate Identification ◽  
Light Microscopical Level ◽  
Dense Deposits ◽  
Cacodylate Buffer ◽  
Glomerular Deposits ◽  
Prognostic Importance

Various kidney diseases are characterized by the presence of dense deposits in the glomeruli. The type(s) of immunoglobulins (Igs) present in the dense deposits are characteristic of the disease. The accurate Identification of the deposits is therefore of utmost diagnostic and prognostic importance. Immunofluorescence (IF) used routinely at the light microscopical level is unable to detect and characterize small deposits found in early stages of glomerulonephritis. Although conventional TEM is able to localize such deposits, it is not capable of determining their nature. It was therefore attempted to immunolabel at EM level IgG, IgA IgM, C3, fibrinogen and kappa and lambda Ig light chains commonly found in glomerular deposits on routinely fixed ( 2% glutaraldehyde (GA) in 0.1M cacodylate buffer) kidney biopsies.The unosmicated tissue was embedded in LR White resin polymerized by UV light at -10°C. A postembedding immunogold technique was employed

Project BRAIN: Working Together to Improve Educational Outcomes for Students With Traumatic Brain Injury

2012 ◽  
Vol 22 (3) ◽  
pp. 106-118 ◽  
Author(s):  
Paula Denslow ◽  
Jean Doster ◽  
Kristin King ◽  
Jennifer Rayman
Keyword(s):  
Traumatic Brain Injury ◽  
At Risk ◽  
Brain Injury ◽  
Educational Outcomes ◽  
School Personnel ◽  
Department Of Education ◽  
Health Providers ◽  
Accurate Identification ◽  
Transition Intervention ◽  
Working Together

Children and youth who sustain traumatic brain injury (TBI) are at risk for being unidentified or misidentified and, even if appropriately identified, are at risk of encountering professionals who are ill-equipped to address their unique needs. A comparison of the number of people in Tennessee ages 3–21 years incurring brain injury compared to the number of students ages 3–21 years being categorized and served as TBI by the Department of Education (DOE) motivated us to create this program. Identified needs addressed by the program include the following: (a) accurate identification of students with TBI; (b) training of school personnel; (c) development of linkages and training of hospital personnel; and (d) hospital-school transition intervention. Funded by Health Services and Resources Administration (HRSA) grants with support from the Tennessee DOE, Project BRAIN focuses on improving educational outcomes for students with TBI through the provision of specialized group training and ongoing education for educators, families, and health professionals who support students with TBI. The program seeks to link families, hospitals, and community health providers with school professionals such as speech-language pathologists (SLPs) to identify and address the needs of students with brain injury.

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