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  • Systems | An Open Access Journal from MDPI
    Systems is an international, peer-reviewed, open access journal on systems theory in practice, including fields such as systems engineering management, systems based project planning in urban settings, health systems, environmental management and complex social systems, published monthly online by MDPI
  • Systems | Aims Scope - MDPI
    Systems (ISSN 2079-8954) is an international, peer-reviewed journal on systems theory in practice, including fields such as systems engineering management, systems-based project planning, intelligent cities, intelligent planning, health systems, transportation systems, digital systems, environmental management, and complex social systems We
  • Systems | Special Issues - MDPI
    Special Issues Systems publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions
  • What is Systems Thinking? Expert Perspectives from the WPI Systems . . .
    Systems thinking is an approach to reasoning and treatment of real-world problems based on the fundamental notion of ‘system ’ System here refers to a purposeful assembly of components Thus, systems thinking is aimed at understanding relationships between components and their overall impact on system outcomes (i e , intended and unintended) and how a system similarly fits in the broader
  • Systems | Article Processing Charges - MDPI
    All articles published in Systems (ISSN 2079-8954) are published in full open access An article processing charge (APC) of CHF 2400 (Swiss francs) applies to papers accepted after peer review This article processing charge is to cover the costs of peer review, copyediting, typesetting, long-term archiving, and journal management
  • Integrating Systems Thinking and Behavioural Science - MDPI
    Traditional approaches to changing health behaviours have primarily focused on education and raising awareness, assuming that increased knowledge leads to better decisions However, evidence suggests these methods often fail to result in sustained behavioural change The dual-process theory of decision-making highlights that much of our behaviour is driven by automatic, intuitive processes
  • Review of Monitoring and Control Systems Based on Internet of Things - MDPI
    The Internet of Things is currently one of the fastest-growing branches of computer science The development of 5G wireless networks and modern data transmission protocols offers excellent opportunities for rapid development in this field The article presents an overview of monitoring and control systems based on the Internet of Things The authors discuss various aspects of these systems
  • 5 ways to better teach systems thinking skills in education
    Implementing systems thinking through the building of systems maps can cultivate a shared language for discussing complex systems among students, helping learners build confidence and collaborate effectively, even when language comprehension is limited Tools such as causal loop diagrams and mapping enable diverse groups to develop mutual
  • Multiple Cropping Systems for Improving Crop Yield and Soil Quality - MDPI
    This Special Issue has published sixteen papers focusing on different aspects of multiple cropping systems, including the effects of multiple cropping systems on crop yield [11,12,13,14], soil quality [15,16,17,18,19], carbon sequestration and greenhouse gas (GHG) emission reduction [20,21,22], resource use efficiency [23,24,25], and soil
  • Deep Learning Techniques for Fault Diagnosis in Interconnected Systems . . .
    As systems in industry become increasingly interconnected and sophisticated, the task of fault detection and diagnosis becomes significantly more difficult Predictive maintenance, in conjunction with sophisticated multimodal learning methods, has been found to be an effective solution for tackling such challenges Presently, data are collected across numerous sources, ranging from sensors and





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