On the Performance of Independent Processing of Independent Data Sets for Distributed Detection

2013 ◽  
Vol 20 (6) ◽  
pp. 619-622 ◽  
Author(s):  
S. Kay ◽  
Quan Ding
Keyword(s):  
Distributed Detection ◽  
Data Sets ◽  
Independent Data

The visual arrays task…visual storage capacity or attention control?

2019 ◽  
Author(s):  
Jessie Martin ◽  
Jason S. Tsukahara ◽  
Christopher Draheim ◽  
Zach Shipstead ◽  
Cody Mashburn ◽  
...  
Keyword(s):  
Working Memory ◽  
Storage Capacity ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Control ◽  
Data Sets ◽  
Independent Data ◽  
Visual Storage ◽  
Design Selection ◽  
The Relationship

**The uploaded manuscript is still in preparation** In this study, we tested the relationship between visual arrays tasks and working memory capacity and attention control. Specifically, we tested whether task design (selection or non-selection demands) impacted the relationship between visual arrays measures and constructs of working memory capacity and attention control. Using analyses from 4 independent data sets we showed that the degree to which visual arrays measures rely on selection influences the degree to which they reflect domain-general attention control.

scholarly journals Identification of a robust gene signature that predicts breast cancer outcome in independent data sets

BMC Cancer ◽  
2007 ◽  
Vol 7 (1) ◽  
Author(s):  
James E Korkola ◽  
Ekaterina Blaveri ◽  
Sandy DeVries ◽  
Dan H Moore ◽  
E Shelley Hwang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Signature ◽  
Data Sets ◽  
Independent Data ◽  
Breast Cancer Outcome ◽  
Cancer Outcome

Synthetic Taxonomy of Rosa Races Using ACT-STATIS

2000 ◽  
Vol 55 (5-6) ◽  
pp. 399-409 ◽  
Author(s):  
Olivier Raymond ◽  
Jean-Louis Fiasson ◽  
Maurice Jay
Keyword(s):  
Artificial Selection ◽  
Contingency Tables ◽  
Principal Component ◽  
Data Sets ◽  
Independent Data ◽  
Selection Pressures ◽  
Principal Component Analyses ◽  
History Of ◽  
Rv Coefficient ◽  
Good Agreement

Fifteen Rosa cultivated races were described by means of phenotypic frequencies (11 tables). Two groups of correlated contingency tables were identified by ACT-STATIS (Analyse Conjointe de Tableaux - Structuration de Tableaux à Trois Indices de la Statistique) interstructure analysis. Three data sets appeared to be independent from the others. Typologies of races were obtained after ACT-STATIS compromise analyses for the two groups of correlated tables, and after Principal Component Analyses for the independent data sets. Each typology was original and variously influenced by genealogical structure, mutation or artificial selection pressures. A weighted synthesis was attempted in order to build a taxonomy of races taking into account these diversity factors. The good agreement between the resulting classification and the assumptions about the history of Rosa domestication advocated for a wider utilization of ACT-STATIS and RV coefficient when the relationships between individuals or populations have to be studied on the basis of their similarities.

scholarly journals Weighted Gene Coexpression Network Analysis Reveals the Dynamic Transcriptome Regulation and Prognostic Biomarkers of Hepatocellular Carcinoma

2020 ◽  
Vol 16 ◽  
pp. 117693432092056
Author(s):  
Shuping Qu ◽  
Qiuyuan Shi ◽  
Jing Xu ◽  
Wanwan Yi ◽  
Hengwei Fan
Keyword(s):  
Hepatocellular Carcinoma ◽  
Differentially Expressed ◽  
Prognostic Biomarkers ◽  
Coexpression Network ◽  
Data Sets ◽  
Independent Data ◽  
Gene Coexpression Network ◽  
Gene Coexpression ◽  
Gene Modules ◽  
Coexpression Network Analysis

This study was aimed at revealing the dynamic regulation of mRNAs, long noncoding RNAs (lncRNAs), and microRNAs (miRNAs) in hepatocellular carcinoma (HCC) and to identify HCC biomarkers capable of predicting prognosis. Differentially expressed mRNAs (DEmRNAs), lncRNAs, and miRNAs were acquired by comparing expression profiles of HCC with normal samples, using an expression data set from The Cancer Genome Atlas. Altered biological functions and pathways in HCC were analyzed by subjecting DEmRNAs to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. Gene modules significantly associated with disease status were identified by weighted gene coexpression network analysis. An lncRNA-mRNA and an miRNA-mRNA coexpression network were constructed for genes in disease-related modules, followed by the identification of prognostic biomarkers using Kaplan-Meier survival analysis. Differential expression and association with the prognosis of 4 miRNAs were verified in independent data sets. A total of 1220 differentially expressed genes were identified between HCC and normal samples. Differentially expressed mRNAs were significantly enriched in functions and pathways related to “plasma membrane structure,” “sensory perception,” “metabolism,” and “cell proliferation.” Two disease-associated gene modules were identified. Among genes in lncRNA-mRNA and miRNA-mRNA coexpression networks, 9 DEmRNAs and 7 DEmiRNAs were identified to be potential prognostic biomarkers. MIMAT0000102, MIMAT0003882, and MIMAT0004677 were successfully validated in independent data sets. Our results may advance our understanding of molecular mechanisms underlying HCC. The biomarkers may contribute to diagnosis in future clinical practice.

scholarly journals Individual Tree Volume Equations for Red Pine in Michigan

1997 ◽  
Vol 14 (2) ◽  
pp. 53-58 ◽  
Author(s):  
Gary W. Fowler
Keyword(s):  
Red Pine ◽  
Data Sets ◽  
Regression Equations ◽  
Independent Data ◽  
Data Set ◽  
Individual Tree ◽  
Standing Trees ◽  
Pine Stands ◽  
Volume Estimates ◽  
Volume Equations

Abstract New total, pulpwood, sawtimber, and residual pulpwood cubic foot individual tree volume equations were developed for red pine in Michigan using nonlinear and multiple linear regression. Equations were also developed for Doyle, International 1/4 in., and Scribner bd ft volume, and a procedure for estimating pulpwood and residual pulpwood rough cord volumes from the appropriate cubic foot equations was described. Average ratios of residual pulpwood (i.e., topwood, cubic foot or cords) to mbf were developed for 7.6 and 9.6 in. sawtimber. Data used to develop these equations were collected during May-August 1983-1985 from 3,507 felled and/or standing trees from 27 stands in Michigan. Sixteen and 11 stands were located in the Upper and Lower Peninsulas, respectively. All equations were validated on an independent data set. Rough cord volume estimates based on the new pulpwood equation were compared with contemporary tables for 2 small cruise data sets. The new equations can be used to more accurately estimate total volume and volume per acre when cruising red pine stands. North. J. Appl. For. 14(2):53-58.

Testing for equality of rates of evolution

Paleobiology ◽  
1987 ◽  
Vol 13 (3) ◽  
pp. 272-285 ◽  
Author(s):  
Jennifer A. Kitchell ◽  
George Estabrook ◽  
Norman MacLeod
Keyword(s):  
Rapid Change ◽  
Time Interval ◽  
Data Sets ◽  
Independent Data ◽  
Change Rate ◽  
Rates Of Evolution ◽  
Generative Processes ◽  
Pattern Of Variation ◽  
Ordered Data ◽  
Post Hoc

A new method of data analysis offers a potentially powerful tool for statistically evaluating hypotheses of rate in temporally-ordered evolutionary phenomena. We present a method for bootstrapping time-ordered data sets to test hypotheses of the equality of rate. This method is applicable to both nonrandom and random generative processes. The method is applied to the data of Malmgren et al. (1983) for the Globorotalia plesiotumida–G. tumida planktonic foraminiferan lineage and the data of Reyment (1982) for the benthonic foraminiferan Afrobolivina afar. G. plesiotumida is recognizable on the basis of independent data as a species distinct from G. tumida, its descendant. Evolutionary change rate during the evolution of G. tumida from G. plesiotumida is shown to be faster than rates within either species. The pattern of variation exhibited by A. afar includes a time interval of more rapid change; this more rapid change is observed post hoc. A bootstrapping model based on post hoc observations reveals the rate in this time interval to be not significantly faster than expected in such post hoc intervals.

Data integration of exploration data using colour space on an image processor

1989 ◽  
Vol 20 (2) ◽  
pp. 31 ◽  
Author(s):  
G.A. Spencer ◽  
D.F. Pridmore ◽  
D.J. Isles
Keyword(s):  
Data Integration ◽  
Effective Means ◽  
Hard Copy ◽  
Data Sets ◽  
Independent Data ◽  
Vector Data ◽  
Integration Process ◽  
Colour Space ◽  
Airborne Geophysical Data ◽  
Data Management Software

lmage processing in exploration has rapidly evolved into the field of data integration, whereby independent data sets which coincide in space are displayed concurrently. Interrelation-ships between data sets which may be crucial to exploration can thus be identified much more effectively than with conventional hard copy overlays. The use of perceptual colour space; hue, saturation and luminosity (HSL) provides an effective means for integrating raster data sets, as illustrated with the multi-spectral scanner and airborne geophysical data from the Kambalda area in Western Australia. The integration process must also cater for data in vector format, which is more appropriate for geological, topographic and cultural information, but to date, image processing systems have poorly captured and managed such data. As a consequence, the merging of vector data management software such as GIS (geographic information system) with existing advanced image enhancement packages is an area of active development in the exploration industry.

scholarly journals Unresolved Discrepancies between Cannabinoid Test Results for Infant Urine

2012 ◽  
Vol 58 (9) ◽  
pp. 1364-1367 ◽  
Author(s):  
Vilte E Barakauskas ◽  
Rebecka Davis ◽  
Matthew D Krasowski ◽  
Gwendolyn A McMillin
Keyword(s):  
Similar Rate ◽  
Urine Samples ◽  
Drug Screen ◽  
Reference Laboratory ◽  
Data Sets ◽  
Independent Data ◽  
Test Results ◽  
Hospital Laboratory ◽  
Positive Screen ◽  
Positive Results

Abstract BACKGROUND False-positive drug screen results for tetrahydrocannabinol (THC) have been observed. This study investigated the rate of unconfirmed positive screen results in infant and noninfant urine samples and evaluated possible reasons for differences. METHODS The rate of unconfirmed positive THC screen results for urine samples was determined retrospectively in 2 independent data sets (n = 14 859, reference laboratory; n = 21 807, hospital laboratory) by comparing positive immunoassay-based drug screen results with the associated results of confirmation tests. We then assessed the rate of positive THC screens for samples with varying likelihoods of cannabinoid presence to evaluate the contribution of infant-specific urine constituents to positive results. Finally, a method to detect a THC metabolite (11-hydroxy-Δ9-THC) that occurs in meconium was developed to determine its prevalence in infant urine. RESULTS Positive screen results failed to confirm more frequently in samples from infants (47%) than in noninfants (0.8%). The hospital laboratory observed a similar discrepancy with a different immunoassay. Infant samples with a high likelihood of containing cannabinoids despite negative confirmatory results had a similar rate of positive screening results (50%, n = 20), whereas all samples with a low likelihood of containing cannabinoids screened negative (n = 23). 11-Hydroxy-Δ9-THC was not detected in any infant urine sample tested (n = 16). CONCLUSIONS Conventional confirmatory methods for THC may be inappropriate for urine samples from infants. Our results suggest that one or more currently unrecognized THC-associated compounds are responsible for positive THC screen results for infant urine, as opposed to an infant-associated interference.

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