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cff-version: 1.2.0
message: 'To cite package "sysAgNPs" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'sysAgNPs: Systematic Quantification of AgNPs to Unleash their Potential for
  Applicability'
version: 1.0.0
doi: 10.32614/CRAN.package.sysAgNPs
abstract: There is variation across AgNPs due to differences in characterization techniques
  and testing metrics employed in studies. To address this problem, we have developed
  a systematic evaluation framework called 'sysAgNPs'. Within this framework, Distribution
  Entropy (DE) is utilized to measure the uncertainty of feature categories of AgNPs,
  Proclivity Entropy (PE) assesses the preference of these categories, and Combination
  Entropy (CE) quantifies the uncertainty of feature combinations of AgNPs. Additionally,
  a Markov chain model is employed to examine the relationships among the sub-features
  of AgNPs and to determine a Transition Score (TS) scoring standard that is based
  on steady-state probabilities. The 'sysAgNPs' framework provides metrics for evaluating
  AgNPs, which helps to unravel their complexity and facilitates effective comparisons
  among different AgNPs, thereby advancing the scientific research and application
  of these AgNPs.
authors:
- family-names: Wang
  given-names: Xiting
  email: XitingWang2023@outlook.com
  orcid: https://orcid.org/0009-0009-5235-0006
- family-names: Mao
  given-names: Longfei
  email: longfeimao99@gmail.com
  orcid: https://orcid.org/0000-0003-0759-0501
repository: https://xitingwang-ida.r-universe.dev
repository-code: https://github.com/xitingwang-ida/sysAgNPs
commit: 7390aff7b4c0dc5a1e371ebb51fd0d9345ad941f
url: https://github.com/xitingwang-ida/sysAgNPs
contact:
- family-names: Wang
  given-names: Xiting
  email: XitingWang2023@outlook.com
  orcid: https://orcid.org/0009-0009-5235-0006