Model-driven interface management a practical approach to systems engineering in large-scale international research projects

Author(s):  
Marco Di Maio
2020 ◽  
Vol 32 (2) ◽  
pp. 444-450
Author(s):  
Katerina Galani

Over the last decades, maritime history has evolved into one of the most dynamic, self-standing disciplines among Greek historical studies. The production of books and papers that probe the multilevel human interaction with the sea has been prolific, while Greek maritime historians exhibit an ever-growing presence in the international fora. This paper argues that the roots of this unprecedented boom lie in a series of large-scale research projects funded both by international and national agencies. It underlines the common features of these schemes that formulated a methodology, or rather a ‘school’ of maritime history, and introduces to a wider audience the most significant projects that are currently underway.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Young-Dan Cho ◽  
Woo-Jin Kim ◽  
Hyun-Mo Ryoo ◽  
Hong-Gee Kim ◽  
Kyoung-Hwa Kim ◽  
...  

Abstract Background The Encyclopedia of DNA Elements (ENCODE) project has advanced our knowledge of the functional elements in the genome and epigenome. The aim of this article was to provide the comprehension about current research trends from ENCODE project and establish the link between epigenetics and periodontal diseases based on epigenome studies and seek the future direction. Main body Global epigenome research projects have emphasized the importance of epigenetic research for understanding human health and disease, and current international consortia show an improved interest in the importance of oral health with systemic health. The epigenetic studies in dental field have been mainly conducted in periodontology and have focused on DNA methylation analysis. Advances in sequencing technology have broadened the target for epigenetic studies from specific genes to genome-wide analyses. Conclusions In line with global research trends, further extended and advanced epigenetic studies would provide crucial information for the realization of comprehensive dental medicine and expand the scope of ongoing large-scale research projects.


Author(s):  
Gábor Bergmann

AbstractStudying large-scale collaborative systems engineering projects across teams with differing intellectual property clearances, or healthcare solutions where sensitive patient data needs to be partially shared, or similar multi-user information systems over databases, all boils down to a common mathematical framework. Updateable views (lenses) and more generally bidirectional transformations are abstractions to study the challenge of exchanging information between participants with different read access privileges. The view provided to each participant must be different due to access control or other limitations, yet also consistent in a certain sense, to enable collaboration towards common goals. A collaboration system must apply bidirectional synchronization to ensure that after a participant modifies their view, the views of other participants are updated so that they are consistent again. While bidirectional transformations (synchronizations) have been extensively studied, there are new challenges that are unique to the multidirectional case. If complex consistency constraints have to be maintained, synchronizations that work fine in isolation may not compose well. We demonstrate and characterize a failure mode of the emergent behaviour, where a consistency restoration mechanism undoes the work of other participants. On the other end of the spectrum, we study the case where synchronizations work especially well together: we characterize very well-behaved multidirectional transformations, a non-trivial generalization from the bidirectional case. For the former challenge, we introduce a novel concept of controllability, while for the latter one, we propose a novel formal notion of faithful decomposition. Additionally, the paper proposes several novel properties of multidirectional transformations.


Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Xuyang Zhao ◽  
Cisheng Wu ◽  
Duanyong Liu

Within the context of the large-scale application of industrial robots, methods of analyzing the life-cycle cost (LCC) of industrial robot production have shown considerable developments, but there remains a lack of methods that allow for the examination of robot substitution. Taking inspiration from the symmetry philosophy in manufacturing systems engineering, this article further establishes a comparative LCC analysis model to compare the LCC of the industrial robot production with traditional production at the same time. This model introduces intangible costs (covering idle loss, efficiency loss and defect loss) to supplement the actual costs and comprehensively uses various methods for cost allocation and variable estimation to conduct total cost and the cost efficiency analysis, together with hierarchical decomposition and dynamic comparison. To demonstrate the model, an investigation of a Chinese automobile manufacturer is provided to compare the LCC of welding robot production with that of manual welding production; methods of case analysis and simulation are combined, and a thorough comparison is done with related existing works to show the validity of this framework. In accordance with this study, a simple template is developed to support the decision-making analysis of the application and cost management of industrial robots. In addition, the case analysis and simulations can provide references for enterprises in emerging markets in relation to robot substitution.


Epidemiologia ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 315-324
Author(s):  
Juan M. Banda ◽  
Ramya Tekumalla ◽  
Guanyu Wang ◽  
Jingyuan Yu ◽  
Tuo Liu ◽  
...  

As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of open data is being generated for medical, genetics, and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data and publications on the ongoing pandemic is allowing other scientists to learn from local experiences and data generated on the front lines of the COVID-19 pandemic. However, there is a need to integrate additional data sources that map and measure the role of social dynamics of such a unique worldwide event in biomedical, biological, and epidemiological analyses. For this purpose, we present a large-scale curated dataset of over 1.12 billion tweets, growing daily, related to COVID-19 chatter generated from 1 January 2020 to 27 June 2021 at the time of writing. This data source provides a freely available additional data source for researchers worldwide to conduct a wide and diverse number of research projects, such as epidemiological analyses, emotional and mental responses to social distancing measures, the identification of sources of misinformation, stratified measurement of sentiment towards the pandemic in near real time, among many others.


Author(s):  
Brian Bush ◽  
Laura Vimmerstedt ◽  
Jeff Gonder

Connected and automated vehicle (CAV) technologies could transform the transportation system over the coming decades, but face vehicle and systems engineering challenges, as well as technological, economic, demographic, and regulatory issues. The authors have developed a system dynamics model for generating, analyzing, and screening self-consistent CAV adoption scenarios. Results can support selection of scenarios for subsequent computationally intensive study using higher-resolution models. The potential for and barriers to large-scale adoption of CAVs have been analyzed using preliminary quantitative data and qualitative understandings of system relationships among stakeholders across the breadth of these issues. Although they are based on preliminary data, the results map possibilities for achieving different levels of CAV adoption and system-wide fuel use and demonstrate the interplay of behavioral parameters such as how consumers value their time versus financial parameters such as operating cost. By identifying the range of possibilities, estimating the associated energy and transportation service outcomes, and facilitating screening of scenarios for more detailed analysis, this work could inform transportation planners, researchers, and regulators.


2017 ◽  
Vol 25 (5) ◽  
pp. 656-656
Author(s):  
Erinija Pranckevičienė ◽  
Vaidutis Kučinskas

2020 ◽  
Author(s):  
Maria Ashworth ◽  
Laura Crane ◽  
Robyn Steward ◽  
Melissa Bovis ◽  
Liz Pellicano

Despite a dramatic increase in the amount of autism research taking place, autistic adults often report negative experiences of participating in such research. In other areas where community members report dissatisfaction (e.g., healthcare, criminal justice), ‘passports’ or ‘toolkits’ have been developed. In the current project, we created a Research Passport that could be used by autistic adults and autism researchers when engaging in research. Using a participatory framework, we designed and developed a Research Passport via an iterative design process. First, focus groups with autistic adults (n=9) and autism researchers (n=6) were used to elicit initial ideas for a Research Passport. Findings showed that the Research Passport (1) was perceived to be a useful idea, but not a panacea for all issues in autism research, (2) needed to be universal and flexible, and (3) could have a broad remit (e.g., to record scores on commonly-used standardized tasks that could, with permission, be shared with different researchers). Next, a preliminary evaluation of a prototype Research Passport was conducted via usability testing in three ongoing research projects. Nine autistic participants provided feedback (via a survey), as did three researchers (via interviews). We identified three themes from these data, highlighting how the Research Passport: (1) promoted positive participant-researcher relationships, (2) provided a structure and framework to support existing practices, and (3) needed to be adapted slightly to facilitate usability and manage expectations. Overall, the Research Passport was perceived to be useful in promoting empathetic autism research. Further design and large-scale testing are warranted.


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