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Systems, Volume 6, Issue 1 (March 2018) – 7 articles

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17 pages, 2717 KiB  
Article
On the Architecture of Systemology and the Typology of Its Principles
by David Rousseau
Systems 2018, 6(1), 7; https://doi.org/10.3390/systems6010007 - 13 Mar 2018
Cited by 18 | Viewed by 12023
Abstract
Systems engineering is increasingly challenged by the rising complexity of projects undertaken, resulting in increases in costs, failure rates, and negative unintended consequences. This has resulted in calls for more scientific principles to underpin the methods of systems engineering. In this paper, it [...] Read more.
Systems engineering is increasingly challenged by the rising complexity of projects undertaken, resulting in increases in costs, failure rates, and negative unintended consequences. This has resulted in calls for more scientific principles to underpin the methods of systems engineering. In this paper, it is argued that our ability to improve systems Engineering’s methods depends on making the principles of systemology, of which systems engineering is a part, more diverse and more scientific. An architecture for systemology is introduced, which shows how the principles of systemology arise from interdependent processes spanning multiple disciplinary fields, and on this basis a typology is introduced, which can be used to classify systems principles and systems methods. This framework, consisting of an architecture and a typology, can be used to survey and classify the principles and methods currently in use in systemology, map vocabularies referring to them, identify key gaps, and expose opportunities for further development. It may, thus, serve as a tool for coordinating collaborative work towards advancing the scope and depth of systemology. Full article
(This article belongs to the Special Issue Systems Thinking)
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<p>Relationships between forms of principles.</p>
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<p>The levels hierarchy and its emergence over time (reproduced from [<a href="#B45-systems-06-00007" class="html-bibr">45</a>], with permission).</p>
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<p>Relationships between forms of systems principles.</p>
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<p>The basic activity stages of a scientific endeavour.</p>
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<p>The typical outputs of stages of a scientific endeavour.</p>
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<p>A scientific discipline’s typical activity level per field dimension.</p>
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<p>The basic structure and roles of disciplinary fields.</p>
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<p>The scientific development of principles across disciplinary fields.</p>
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<p>The interplay of scientific and heuristic principles across the field dimensions.</p>
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<p>Interplay of pathways driving the emergence and evolution of principles across fields.</p>
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<p>The architecture of systemology.</p>
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<p>A typology for systems principles.</p>
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15 pages, 2892 KiB  
Article
Veterinary Telemedicine: A System Dynamics Case Study
by John Voyer and Tristan Jordan
Systems 2018, 6(1), 6; https://doi.org/10.3390/systems6010006 - 15 Feb 2018
Cited by 2 | Viewed by 7534
Abstract
Veterinary telemedicine has existed since the late 1990s. Various scholars have predicted its growth, others its decline. We constructed a system dynamics model of a veterinary telemedicine company providing services in one specialty in the industry. The model showed that severe shortages of [...] Read more.
Veterinary telemedicine has existed since the late 1990s. Various scholars have predicted its growth, others its decline. We constructed a system dynamics model of a veterinary telemedicine company providing services in one specialty in the industry. The model showed that severe shortages of specialists would limit growth in that, even with extensive marketing efforts. This limitation is likely to hold in other aspects of veterinary telemedicine. The paper concludes with recommendations for the company and the industry. Full article
(This article belongs to the Special Issue Theory and Practice in System Dynamics Modelling)
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<p>Market opportunity for a veterinary telemedicine business.</p>
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<p>Function for service quality vs. pressure on staff.</p>
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<p>Specialist hiring practices.</p>
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<p>Base case: customer gains and losses and service quality.</p>
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<p>(<b>a</b>) FTE growth, pessimistic scenario #1; (<b>b</b>) case growth, pessimistic scenario #1; (<b>c</b>) income statement, pessimistic scenario #1.</p>
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<p>Results of optimistic case. (Thin lines are from the base case).</p>
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<p>(<b>a</b>) Pressure on staff and service quality, marketing scenario 1; (<b>b</b>) customer gains and losses, marketing scenario 1.</p>
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<p>Revenues and income, marketing scenario 1.</p>
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<p>Marketing scenario 2: service quality and customer gains and losses.</p>
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<p>Marketing scenario 2: net income.</p>
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<p>Pressure on staff, all scenarios.</p>
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<p>FTE employees, all scenarios.</p>
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<p>Revenue, all scenarios.</p>
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12 pages, 1352 KiB  
Editorial
Overview and Insights from ‘Systems Education for a Sustainable Planet’
by Robert Y. Cavana and Vicky E. Forgie
Systems 2018, 6(1), 5; https://doi.org/10.3390/systems6010005 - 13 Feb 2018
Cited by 11 | Viewed by 8064
Abstract
An announcement by Bosch and Cavana, in Systems, called for new papers to provide updated perspectives about and fresh insights into developments that influence ‘systems education for a sustainable planet’. This paper’s objective is to provide an overview of the 14 papers that [...] Read more.
An announcement by Bosch and Cavana, in Systems, called for new papers to provide updated perspectives about and fresh insights into developments that influence ‘systems education for a sustainable planet’. This paper’s objective is to provide an overview of the 14 papers that were published in the special issue, and present some insights and findings from their content. It does this by classifying the papers into five distinct themes, then analysing their content and the linkages between the themes. This process revealed that: (1) Specialised systems education at a tertiary level is predominantly at graduate level, using a diverse range of approaches; and (2) Delivering specialised systems education remains a challenge for programs that endeavour to provide an integrated and interdisciplinary learning experience. Barriers include current institutional structures and the need for students to be both big picture thinkers and detail-oriented technocrats; (3) Teaching systems approaches outside of specialised programs for students (both young and mature) help to expose systems thinking to a wider demographic; (4) The strong links that exist between systems approaches and sustainability goals are increasingly being recognised. Systems education can help transition towards a sustainable planet, as it helps people appreciate that individual actions are not isolated events but contribute to an interconnected system that determines both the well-being of humans and the planet. Full article
(This article belongs to the Special Issue Systems Education for a Sustainable Planet)
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<p>A Word diagram of the keywords from the 14 special issue papers.</p>
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<p>Theme classification of the 14 special issue papers.</p>
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28 pages, 2898 KiB  
Article
Rediscovering and Reviving Old Observations and Explanations of Metabolic Scaling in Living Systems
by Douglas S. Glazier
Systems 2018, 6(1), 4; https://doi.org/10.3390/systems6010004 - 29 Jan 2018
Cited by 54 | Viewed by 10681
Abstract
Why the rate of metabolism varies (scales) in regular, but diverse ways with body size is a perennial, incompletely resolved question in biology. In this article, I discuss several examples of the recent rediscovery and (or) revival of specific metabolic scaling relationships and [...] Read more.
Why the rate of metabolism varies (scales) in regular, but diverse ways with body size is a perennial, incompletely resolved question in biology. In this article, I discuss several examples of the recent rediscovery and (or) revival of specific metabolic scaling relationships and explanations for them previously published during the nearly 200-year history of allometric studies. I carry out this discussion in the context of the four major modal mechanisms highlighted by the contextual multimodal theory (CMT) that I published in this journal four years ago. These mechanisms include metabolically important processes and their effects that relate to surface area, resource transport, system (body) composition, and resource demand. In so doing, I show that no one mechanism can completely explain the broad diversity of metabolic scaling relationships that exists. Multi-mechanistic models are required, several of which I discuss. Successfully developing a truly general theory of biological scaling requires the consideration of multiple hypotheses, causal mechanisms and scaling relationships, and their integration in a context-dependent way. A full awareness of the rich history of allometric studies, an openness to multiple perspectives, and incisive experimental and comparative tests can help this important quest. Full article
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Graphical abstract

Graphical abstract
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<p>Schematic representation of the four modal theories included in the contextual multimodal theory (CMT) of metabolic scaling. Reproduced with permission from [<a href="#B20-systems-06-00004" class="html-bibr">20</a>].</p>
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<p>Schematic representation of theoretical models of metabolic scaling that embrace various binary combinations of four possible modal mechanisms or theories included in the contextual multimodal theory (CMT) of metabolic scaling [<a href="#B20-systems-06-00004" class="html-bibr">20</a>]. SA = surface-area theory; RT = resource-transport theory; SC = system-composition theory; RD = resource-demand theory. (<b>A</b>) [<a href="#B27-systems-06-00004" class="html-bibr">27</a>,<a href="#B80-systems-06-00004" class="html-bibr">80</a>,<a href="#B122-systems-06-00004" class="html-bibr">122</a>,<a href="#B130-systems-06-00004" class="html-bibr">130</a>], (<b>B</b>) [<a href="#B148-systems-06-00004" class="html-bibr">148</a>], (<b>C</b>) [<a href="#B19-systems-06-00004" class="html-bibr">19</a>,<a href="#B39-systems-06-00004" class="html-bibr">39</a>,<a href="#B46-systems-06-00004" class="html-bibr">46</a>,<a href="#B56-systems-06-00004" class="html-bibr">56</a>], (<b>D</b>) [<a href="#B176-systems-06-00004" class="html-bibr">176</a>,<a href="#B245-systems-06-00004" class="html-bibr">245</a>]. (<b>E</b>) [<a href="#B86-systems-06-00004" class="html-bibr">86</a>], (<b>F</b>) [<a href="#B25-systems-06-00004" class="html-bibr">25</a>,<a href="#B89-systems-06-00004" class="html-bibr">89</a>,<a href="#B106-systems-06-00004" class="html-bibr">106</a>,<a href="#B167-systems-06-00004" class="html-bibr">167</a>,<a href="#B246-systems-06-00004" class="html-bibr">246</a>].</p>
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<p>Schematic representation of the modal mechanisms used by Dynamic Energy Budget (DEB) theory to explain metabolic scaling [<a href="#B85-systems-06-00004" class="html-bibr">85</a>,<a href="#B156-systems-06-00004" class="html-bibr">156</a>]. Hypometric interspecific metabolic scaling (log-log slope &lt; 1) is explained by surface area (SA) effects on resource supply from storage pools (or in endotherms by heat dissipation effects) and system composition (SC) effects involving disproportionate increases in metabolically inert storage materials with increasing body size. Intraspecific metabolic scaling results from ontogenetic changes in the resource demand (RD) of growth. DEB theory emphasizes SC and RD mechanisms, as indicated by larger code letters and thicker circular lines.</p>
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<p>Schematic representation of the modal mechanisms used by the metabolic-level boundaries hypothesis (MLBH) to explain metabolic scaling both within and among species [<a href="#B19-systems-06-00004" class="html-bibr">19</a>,<a href="#B46-systems-06-00004" class="html-bibr">46</a>,<a href="#B56-systems-06-00004" class="html-bibr">56</a>]. The relative influence of the component mechanisms depends on metabolic level. At high levels of resting metabolism, surface-area (SA) or resource-transport (RT) related effects on resource supply and waste (including heat) loss cause the metabolic scaling exponent to approach 2/3 or 3/4 in isomorphic organisms. However, at low levels of resting metabolism or high levels of active metabolism, volume-related tissue maintenance or muscular power production (RD effects) causes the exponent to approach 1 (assuming no heterogeneous scaling of tissue metabolic rates). If RT effects occur, they are restricted to organisms with closed circulatory systems (e.g., vertebrate animals). The MLBH emphasizes SA and RD mechanisms, as indicated by larger code letters and thicker circular lines.</p>
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<p>Schematic representation of Harrison’s demand-side model of metabolic scaling [<a href="#B106-systems-06-00004" class="html-bibr">106</a>] within the framework of the CMT [<a href="#B20-systems-06-00004" class="html-bibr">20</a>]. Thick arrows and outlined circles denote Harrison’s emphasis on the adaptive evolution of two modal mechanisms affecting resource demand. This model posits that the two modal mechanisms affecting resource supply evolve in response to changes in resource demand. SA = surface-area theory; RT = resource-transport theory; SC = system-composition theory; RD = resource-demand theory.</p>
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<p>Schematic representation of the relative importance of four modal mechanisms, and their interactions within the framework of the CMT [<a href="#B20-systems-06-00004" class="html-bibr">20</a>] (cf. <a href="#systems-06-00004-f001" class="html-fig">Figure 1</a>). Thick arrows and outlined circles denote the modal mechanisms and their interactions that are most supported by current evidence, according to [<a href="#B20-systems-06-00004" class="html-bibr">20</a>]. This model posits that metabolic scaling may evolve in relation to changes, not only in both resource supply and demand, but also in surface-area related loss of wastes (including heat). Source [<a href="#B20-systems-06-00004" class="html-bibr">20</a>] provides further details about how metabolic scaling may respond to co-adjusted changes in both resource supply and demand, and to various physiological, developmental and ecological factors, both functionally and evolutionarily. SA = surface-area theory; RT = resource-transport theory; SC = system-composition theory; RD = resource-demand theory.</p>
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<p>Metabolic scaling represented by an elephant with many different complex parts. Through history, scientists (like blind men) have focused on specific aspects of metabolic scaling (shown in part as the four modal mechanisms of the CMT [<a href="#B20-systems-06-00004" class="html-bibr">20</a>]) and argued for their pre-eminent importance, but in the process failed to see the whole elephant and the environment in which it lives. One must inspect all parts of the ‘elephant’ and its ecological interactions to understand metabolic scaling fully. Based on John G. Saxe’s poem (picture of elephant and blind men, and the last lines of the poem from [<a href="#B266-systems-06-00004" class="html-bibr">266</a>]).</p>
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17 pages, 2438 KiB  
Concept Paper
How to Disable Mortal Loops of Enterprise Resource Planning (ERP) Implementation: A System Dynamics Analysis
by Kaveh M. Cyrus, Davide Aloini and Samira Karimzadeh
Systems 2018, 6(1), 3; https://doi.org/10.3390/systems6010003 - 16 Jan 2018
Cited by 14 | Viewed by 10577
Abstract
Successful Enterprise Resource Planning (ERP) implementation depends upon various factors known as critical success factors (CSFs). This study developed a system dynamics model of ERP implementation based on CSFs to discuss ERP implementation complexities, which identifies the effect of CSF interrelations on different [...] Read more.
Successful Enterprise Resource Planning (ERP) implementation depends upon various factors known as critical success factors (CSFs). This study developed a system dynamics model of ERP implementation based on CSFs to discuss ERP implementation complexities, which identifies the effect of CSF interrelations on different aspects of ERP project failure. Based on the model hypothesis, CSF interrelations include many causal loop dependencies. Some of these causal loops are called mortal loops, because they may cause the failure of risk reduction efforts to a more severe failure in effect of lack of system thinking on CSFs interrelations. This study discusses how system thinking works as a leverage point for overcoming ERP implementation challenges. Full article
(This article belongs to the Special Issue Theory and Practice in System Dynamics Modelling)
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<p>ERP implementation casual diagram.</p>
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<p>ERP implementation mortal loops causal diagram.</p>
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<p>ERP implementation’s risk controller causal diagram.</p>
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<p>ERP implementation flow diagram.</p>
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<p>SPI behaviour in effect of applying policy (1). (1): First Run (2): Second Run (3): Third Run.</p>
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<p>System Reliability dynamics in effect of applying policy (1). (1): First Run (2): Second Run (3): Third Run.</p>
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<p>SPI behaviour in effect of applying policy (2). (1): First Run (2): Second Run (3): Third Run.</p>
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<p>System Reliability dynamics in effect of applying policy (2). (1): First Run (2): Second Run (3): Third Run.</p>
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<p>SPI behaviour for simultaneous applying of both policies. (1): applying both policies simultaneously (2): First Run of Second Policy (3): Third Run of First Policy.</p>
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<p>System Reliability dynamics in simultaneous applying of both policies. (1): applying both policies simultaneously (2): First Run of Second Policy (3): Third Run of First Policy.</p>
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28 pages, 720 KiB  
Article
Compositional Approach to Distributed System Behavior Modeling and Formal Validation of Infrastructure Operations with Finite State Automata: Application to Viewpoint-Driven Verification of Functionality in Waterways
by Mark A. Austin and John Johnson
Systems 2018, 6(1), 2; https://doi.org/10.3390/systems6010002 - 12 Jan 2018
Cited by 5 | Viewed by 8219
Abstract
Now that modern infrastructure systems are moving toward an increased use of automation in their day-to-day operations, there is an emerging need for new approaches to the formal analysis and validation of system functionality with respect to correctness of operations. This paper describes [...] Read more.
Now that modern infrastructure systems are moving toward an increased use of automation in their day-to-day operations, there is an emerging need for new approaches to the formal analysis and validation of system functionality with respect to correctness of operations. This paper describes a compositional approach to the multi-level behavior modeling and formal validation of large-scale distributed system operations with hierarchies and networks of finite state automata. To avoid the well-known state explosion problem, we develop a new procedure for viewpoint-action-process traceability, thereby allowing parts of a behavior model not relevant to a specific decision to be removed from consideration. Key features of the methodology are illustrated through the development of behavior models and validation procedures for polite conversation between two individuals, and lockset- and system-level concerns for ships traversing a large-scale waterway system. Full article
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<p>Traditional and desired pathways of system development.</p>
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<p>Automated assembly and behavior modeling of reactive processes in a canal system and traffic environment.</p>
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<p>Model checking procedure and outcomes.</p>
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<p>Procedure for definition of property automata in LTSA.</p>
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<p>Visual representation of system C composed from processes A and B, and, validation of system C via composition with property automata.</p>
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<p>Schematic for tabular display of design viewpoint-action-process dependencies. A design concern depends on a set of actions, which, in turn, belong to a set of participating processes.</p>
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<p>Process hierarchy for behavior model and validation of polite conversation.</p>
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<p>LTSs for processes in a behavior model of polite conversation.</p>
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<p>Step-by-step procedure for behavior model development, implementation, and testing/validation.</p>
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<p>Elevation view of lockset, and component- and lockset-level process architecture.</p>
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<p>Simplified communication among ship, ship control, passageway control and scheduler processes for a ship transiting the lockset.</p>
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<p>Schematic for process design of the traffic scheduler.</p>
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<p>Schematic for development of simplified models of lockset system behavior. White dots represent requirements. Black dots represent provisions.</p>
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<p>Schematic for development of simplified models of lockset system behavior. White dots represent requirements. Black dots represent provisions.</p>
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<p>Process architecture for full canal model.</p>
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<p>Behavior of ships transiting the Pacific lockset.</p>
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<p>Schematic of system-level response to maintenance events and emergency events in the Pacific, Middle and Atlantic locksets.</p>
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<p>Abbreviated view of behavior associated with maintenance/emergency events.</p>
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2 pages, 306 KiB  
Editorial
Acknowledgement to Reviewers of Systems in 2017
by Systems Editorial Office
Systems 2018, 6(1), 1; https://doi.org/10.3390/systems6010001 - 9 Jan 2018
Viewed by 5400
Abstract
Peer review is an essential part in the publication process, ensuring that Systems maintains high quality standards for its published papers. In 2017, a total of 53 papers were published in the journal.[...] Full article
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