Symmetry-Basel - Journal - Bridge of Knowledge

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Symmetry-Basel

ISSN:

2073-8994

Publisher:

MDPI

Disciplines
(Field of Science):

  • Architecture and urban planning (Engineering and Technology)
  • Automation, electronic and electrical engineering (Engineering and Technology)
  • Information and communication technology (Engineering and Technology)
  • Civil engineering and transport (Engineering and Technology)
  • Materials engineering (Engineering and Technology)
  • Mechanical engineering (Engineering and Technology)
  • Physical culture science (Medical and Health Sciences )
  • Agriculture and horticulture (Agricultural sciences)
  • Law (Social studies)
  • Astronomy (Natural sciences)
  • Computer and information sciences (Natural sciences)
  • Mathematics (Natural sciences)
  • Chemical sciences (Natural sciences)
  • Physical sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2022 70 Ministry Scored Journals List 2019
Ministry points - previous years
Year Points List
2022 70 Ministry Scored Journals List 2019
2021 70 Ministry Scored Journals List 2019
2020 70 Ministry Scored Journals List 2019
2019 70 Ministry Scored Journals List 2019
2018 30 A
2017 30 A
2016 30 A
2015 30 A
2014 30 A

Model:

Open Access

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2021 4.3
Points CiteScore - previous years
Year Points
2021 4.3
2020 3.4
2019 2.5
2018 1.8
2017 1.6
2016 1.3
2015 1
2014 2
2013 3.4
2012 2.2
2011 2.1

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total: 11

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Catalog Journals

Year 2021
Year 2020
Year 2019
  • Optimization of Energetic Train Cooperation
    Publication

    - Symmetry-Basel - Year 2019

    In the article, possible ways of using energy recovered during regenerative braking of trains are presented. It is pointed out that the return of recovered electricity directly to the catenary and its use in the energy cooperation of vehicles can be a no-cost method (without additional infrastructure). The method of energy cooperation between trains and its main assumptions, that uses the law of conservation of energy, are described...

    Full text available to download

  • Predicting Value of Binding Constants of Organic Ligands to Beta-Cyclodextrin: Application of MARSplines and Descriptors Encoded in SMILES String
    Publication

    - Symmetry-Basel - Year 2019

    The quantitative structure–activity relationship (QSPR) model was formulated to quantify values of the binding constant (lnK) of a series of ligands to beta–cyclodextrin (β-CD). For this purpose, the multivariate adaptive regression splines (MARSplines) methodology was adopted with molecular descriptors derived from the simplified molecular input line entry specification (SMILES) strings. This approach allows discovery of regression...

    Full text to download in external service

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