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Predictive model for survival at the conclusion of a damage control laparotomy

Aoki, Noriaki ; Wall, Matthew J ; Demsar, Janez ; [et al.]

Elsevier BV ; 2000

In: The American Journal of Surgery Vol. 180, No. 6 ( 2000-12), p. 540-545

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In: The American Journal of Surgery, Elsevier BV, Vol. 180, No. 6 ( 2000-12), p. 540-545

Type of Medium: Online Resource

ISSN: 0002-9610

URL: Article

DOI: 10.1016/S0002-9610(00)00497-9

RVK:

XA 10000

Language: English

Publisher: Elsevier BV

Publication Date: 2000

detail.hit.zdb_id: 2003374-6

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Predicting Seam Appearance Quality

Pavlinić, Daniela Zavec ; Geršak, Jelka ; Demšar, Janez ; [et al.]

SAGE Publications ; 2006

In: Textile Research Journal Vol. 76, No. 3 ( 2006-03), p. 235-242

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In: Textile Research Journal, SAGE Publications, Vol. 76, No. 3 ( 2006-03), p. 235-242

Abstract: The appearance of a garment is affected by the quality of the fabrics used in its manufacture, as well as a number of factors determined by the technology of the garment manufacturing process. Since fabric quality, as the most important element of garment appearance, is determined by its mechanical properties, it is obvious that these properties directly impact fabric processing properties. It can be seen through various forms of fabric behavior under the loads that occur in sewing. Investigations of the correlations of the stress and fabric behavior are aimed at constructing a system to predict fabric behavior in garment manufacturing processes, as well as to predict the appearance of the garment to be manufactured. The investigation presented here deals with the impact of fabric mechanical properties on the quality of seam appearance, as defined by seam puckering and work-piece flotation. Machine learning methods included in the Orange software package were used to establish the importance of mechanical properties with respect to fabric behavior.

Type of Medium: Online Resource

ISSN: 0040-5175 , 1746-7748

URL: Article

DOI: 10.1177/0040517506061533

RVK:

ZS 0001

Language: English

Publisher: SAGE Publications

Publication Date: 2006

detail.hit.zdb_id: 2209596-2

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Combinatorial algorithm for counting small induced graphs and orbits

Hočevar, Tomaž ; Demšar, Janez ; Conejero, J. Alberto

Public Library of Science (PLoS) ; 2017

In: PLOS ONE Vol. 12, No. 2 ( 2017-2-9), p. e0171428-

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In: PLOS ONE, Public Library of Science (PLoS), Vol. 12, No. 2 ( 2017-2-9), p. e0171428-

Type of Medium: Online Resource

ISSN: 1932-6203

URL: Article

DOI: 10.1371/journal.pone.0171428

DOI: 10.1371/journal.pone.0171428.g001

DOI: 10.1371/journal.pone.0171428.g002

DOI: 10.1371/journal.pone.0171428.g003

DOI: 10.1371/journal.pone.0171428.g004

DOI: 10.1371/journal.pone.0171428.g005

DOI: 10.1371/journal.pone.0171428.g006

DOI: 10.1371/journal.pone.0171428.g007

DOI: 10.1371/journal.pone.0171428.g008

DOI: 10.1371/journal.pone.0171428.g009

DOI: 10.1371/journal.pone.0171428.g010

DOI: 10.1371/journal.pone.0171428.g011

DOI: 10.1371/journal.pone.0171428.t001

DOI: 10.1371/journal.pone.0171428.t002

DOI: 10.1371/journal.pone.0171428.t003

Language: English

Publisher: Public Library of Science (PLoS)

Publication Date: 2017

detail.hit.zdb_id: 2267670-3

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X-ray crystal structures and solution dynamics of sodium organofluorotitanates [Na{Ti2(C5Me5)2F7}] and [NaTi6(C5Me5)5F20(H2O)]·(THF)

Perdih, Franc ; Pevec, Andrej ; Košmrlj, Janez ; [et al.]

Elsevier BV ; 2006

In: Journal of Fluorine Chemistry Vol. 127, No. 10 ( 2006-10), p. 1289-1293

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In: Journal of Fluorine Chemistry, Elsevier BV, Vol. 127, No. 10 ( 2006-10), p. 1289-1293

Type of Medium: Online Resource

ISSN: 0022-1139

URL: Article

DOI: 10.1016/j.jfluchem.2006.05.007

Language: English

Publisher: Elsevier BV

Publication Date: 2006

detail.hit.zdb_id: 1491286-7

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Statistical approach for forecasting road surface temperature

Kršmanc, Rok ; Slak, Alenka Šajn ; Demšar, Janez

Wiley ; 2013

In: Meteorological Applications Vol. 20, No. 4 ( 2013-12), p. 439-446

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In: Meteorological Applications, Wiley, Vol. 20, No. 4 ( 2013-12), p. 439-446

Abstract: Snow and ice make road conditions and use difficult and represent a major challenge for the winter road maintenance service. Optimizing winter maintenance service and safety thus requires accurate short‐term forecasts of the meteorological state of the roads. The most common approach to forecasting road conditions is an energy balance model based on a one‐dimensional diffusion equation. Physical models can predict the road surface temperature, which is the most important parameter for determining the road surface condition (e.g. dry, wet, ice, snow). However, such models can show a large degree of error at sites where physical processes are too complex to be simulated correctly. To solve this problem, physical models are often combined with statistical approaches. This paper proposes a purely statistical method for forecasting road surface temperature based on stepwise linear regression analysis with appropriate selection of the input parameters and separate models for different time intervals. The method is tested on data from several Slovenian road weather stations. Its accuracy is comparable to or better than that of physical models.

Type of Medium: Online Resource

ISSN: 1350-4827 , 1469-8080

URL: Issue

URL: Article

DOI: 10.1002/met.2013.20.issue-4

DOI: 10.1002/met.1305

Language: English

Publisher: Wiley

Publication Date: 2013

detail.hit.zdb_id: 1482937-X

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Predictive Model for Estimating Risk of Crush Syndrome: A Data Mining Approach

Aoki, Noriaki ; Demsar, Janez ; Zupan, Blaz ; [et al.]

Ovid Technologies (Wolters Kluwer Health) ; 2007

In: Journal of Trauma: Injury, Infection & Critical Care Vol. 62, No. 4 ( 2007-04), p. 940-945

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In: Journal of Trauma: Injury, Infection & Critical Care, Ovid Technologies (Wolters Kluwer Health), Vol. 62, No. 4 ( 2007-04), p. 940-945

Type of Medium: Online Resource

ISSN: 0022-5282

URL: Article

DOI: 10.1097/01.ta.0000229795.01720.1e

Language: English

Publisher: Ovid Technologies (Wolters Kluwer Health)

Publication Date: 2007

detail.hit.zdb_id: 2001856-3

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A combinatorial approach to graphlet counting

Hočevar, Tomaž ; Demšar, Janez

Oxford University Press (OUP) ; 2014

In: Bioinformatics Vol. 30, No. 4 ( 2014-02-15), p. 559-565

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In: Bioinformatics, Oxford University Press (OUP), Vol. 30, No. 4 ( 2014-02-15), p. 559-565

Abstract: Motivation: Small-induced subgraphs called graphlets are emerging as a possible tool for exploration of global and local structure of networks and for analysis of roles of individual nodes. One of the obstacles to their wider use is the computational complexity of algorithms for their discovery and counting. Results: We propose a new combinatorial method for counting graphlets and orbit signatures of network nodes. The algorithm builds a system of equations that connect counts of orbits from graphlets with up to five nodes, which allows to compute all orbit counts by enumerating just a single one. This reduces its practical time complexity in sparse graphs by an order of magnitude as compared with the existing pure enumeration-based algorithms. Availability and implementation: Source code is available freely at http://www.biolab.si/supp/orca/orca.html. Contact: tomaz.hocevar@fri.uni-lj.si Supplementary information: Supplementary data are available at Bioinformatics online.

Type of Medium: Online Resource

ISSN: 1367-4811 , 1367-4803

URL: Article

DOI: 10.1093/bioinformatics/btt717

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2014

detail.hit.zdb_id: 1468345-3

SSG: 12

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GenePath: a system for automated construction of genetic networks from mutant data

Zupan, Blaz ; Demsar, Janez ; Bratko, Ivan ; [et al.]

Oxford University Press (OUP) ; 2003

In: Bioinformatics Vol. 19, No. 3 ( 2003-02-12), p. 383-389

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In: Bioinformatics, Oxford University Press (OUP), Vol. 19, No. 3 ( 2003-02-12), p. 383-389

Abstract: Motivation: Genetic networks are often used in the analysis of biological phenomena. In classical genetics, they are constructed manually from experimental data on mutants. The field lacks formalism to guide such analysis, and accounting for all the data becomes complicated when large amounts of data are considered. Results: We have developed GenePath, an intelligent assistant that automates the analysis of genetic data. GenePath employs expert-defined patterns to uncover gene relations from the data, and uses these relations as constraints in the search for a plausible genetic network. GenePath formalizes genetic data analysis, facilitates the consideration of all the available data in a consistent manner, and the examination of the large number of possible consequences of planned experiments. It also provides an explanation mechanism that traces every finding to the pertinent data. Availability: GenePath can be accessed at http://genepath.org Contact: gadi@bcm.tmc.edu Supplementary information: Supplementary material is available at http://genepath.org/bi-supp * To whom correspondence should be addressed.

Type of Medium: Online Resource

ISSN: 1367-4811 , 1367-4803

URL: Article

DOI: 10.1093/bioinformatics/btf871

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2003

detail.hit.zdb_id: 1468345-3

SSG: 12

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Microarray data mining with visual programming

Curk, Tomaz ; Demsar, Janez ; Xu, Qikai ; [et al.]

Oxford University Press (OUP) ; 2005

In: Bioinformatics Vol. 21, No. 3 ( 2005-02-01), p. 396-398

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In: Bioinformatics, Oxford University Press (OUP), Vol. 21, No. 3 ( 2005-02-01), p. 396-398

Abstract: Summary: Visual programming offers an intuitive means of combining known analysis and visualization methods into powerful applications. The system presented here enables users who are not programmers to manage microarray and genomic data flow and to customize their analyses by combining common data analysis tools to fit their needs. Availability: http://www.ailab.si/supp/bi-visprog Contact: blaz.zupan@fri.uni-lj.si Supplementary information: http://www.ailab.si/supp/bi-visprog

Type of Medium: Online Resource

ISSN: 1367-4811 , 1367-4803

URL: Article

DOI: 10.1093/bioinformatics/bth474

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2005

detail.hit.zdb_id: 1468345-3

SSG: 12

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Seroprevalence of severe acute respiratory syndrome coronavirus 2 in Slovenia: results of two rounds of a nationwide population study on a probability-based sample, challenges and lessons learned

Poljak, Mario ; Oštrbenk Valenčak, Anja ; Štrumbelj, Erik ; [et al.]

Elsevier BV ; 2021

In: Clinical Microbiology and Infection Vol. 27, No. 7 ( 2021-07), p. 1039.e1-1039.e7

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In: Clinical Microbiology and Infection, Elsevier BV, Vol. 27, No. 7 ( 2021-07), p. 1039.e1-1039.e7

Type of Medium: Online Resource

ISSN: 1198-743X

URL: Article

DOI: 10.1016/j.cmi.2021.03.009

Language: English

Publisher: Elsevier BV

Publication Date: 2021

detail.hit.zdb_id: 2020034-1

SSG: 12

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