Generating Additional Innovation and Research Opportunities during COVID 19 in Device and Technology Development and Associated Clinical, Patient, and Research Activity Benefits through a Clinical Engineering Innovation and Research Team (CEIR)

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Hopkins Chris
2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Stefania Viti

The International Conference ARCO 2020 has been promoted to focus the attention on art collections, joining different issues which play a fundamental role in their valorization, such as Cultural Heritage, Safety, Design and Digital Innovation. Each of these areas have produced important contributions, becoming essential research assets. Each research, in these years, has been developed within its proper field, and presented in many specific Conferences. ARCO 2020 has been promoted with the belief that all the subjects focused on art collections should be developed jointly, or – at least – not ignoring each other. The strong awareness of the multidisciplinary value of art exhibitions has increased within the research activity developed in these last years by some of the promoters of the Conference. The research team which promoted the Conference was born in 2016, with the research project named “RESIMUS” focused on the resilience of the art collections exhibited at the Museum of Bargello of Florence. The research, promoted by Stefania Viti and Giacomo Pirazzoli, activated many studies and projects, involving many researchers belonging to different fields, which started working together and producing many relevant contributions.


2020 ◽  
Author(s):  
Jonathan Rizzi ◽  
Ingvild Nystuen ◽  
Misganu Debella-Gilo ◽  
Nils Egil Søvde

<p>Recent years are experiencing an exponential increase of remote sensing datasets coming from different sources (satellites, airplanes, UAVs) at different resolutions (up to few cm) based on different sensors (single bands sensors, hyperspectral cameras, LIDAR, …). At the same time, IT developments are allowing for the storage of very large datasets (up to Petabytes) and their efficient processing (through HPC, distributed computing, use of GPUs). This allowed for the development and diffusion of many libraries and packages implementing machine learning algorithm in a very efficient way. It has become therefor possible to use machine learning (including deep learning methods such as convolutional neural networks) to spatial datasets with the aim of increase the level of automaticity of the creation of new maps or the update of existing maps. </p><p>Within this context, the Norwegian Institute of Bioeconomy Research (NIBIO), has started a project to test and apply big data methods and tools to support research activity transversally across its divisions.  NIBIO is a research-based knowledge institution that utilizes its expertise and professional breadth for the development of the bioeconomy in Norway. Its social mission entails a national responsibility in the bioeconomy sector, focusing on several societal challenges including: i) Climate (emission reductions, carbon uptake and climate adaptation); ii) Sustainability (environment, resource management and production within nature and society's tolerance limits); iii) Transformation (circular economy, resource efficient production systems, innovation and technology development); iv) food; and v) economy.</p><p>The presentation will show obtained results focus on land cover mapping using different methods and different dataset, include satellite images and airborne hyperspectral images. Further, the presentation will focus related on the criticalities related to automatic mapping from remote sensing dataset and importance of the availability of large training datasets.</p>


2013 ◽  
Vol 95 (1) ◽  
pp. 8-8

The Annals exists in part to keep surgeons up to date with advances in surgical research. We also have a responsibility to inform our readers of research opportunities that they may wish to join. Professor John Scholefield heads the National Institute for Health Research (NIHR) National Surgery Specialty Group and he has asked us to publish regular updates of surgical research activity taking place across the UK. We are pleased to do so and provide some additional information below.


2015 ◽  
Vol 7 (1) ◽  
pp. 59-78
Author(s):  
Elizabeth FitzGerald ◽  
Anne Adams

Development and deployment of location-based systems is a key consideration in the design of new mobile technologies. Critical to the design process is to understand and manage the expectations of stakeholders (including funders, research partners and end users) for these systems. In particular, the way in which expectations impact upon technology development choices between small-scale, ‘high tech' innovations or larger scalable solutions. This paper describes the differences in a revolutionary design process (for ‘high tech' prototypes or catwalk technologies) versus an evolutionary design process (for scalable or prêt-a-porter systems), as exemplified in two location-based mobile interaction case studies. One case study exemplifies a revolutionary design process and resultant system, and the other an evolutionary design process and system. The use of these case studies is a clear natural progression from the paper that first described the concept of ‘catwalk technologies' (Adams et al, 2013), which itself drew upon research that used mobile devices for outdoor 'in the wild' locations. This paper presents a set list of fifteen heuristic guidelines based upon an analysis of these case studies. These heuristics present characteristics and key differences between the two types of design process. This paper provides a key reference point for researchers, developers and the academic community as a whole, when defining a project rationale for designing and developing technical systems. In addition, we refer to the role of the researcher/research team in terms of guiding and managing stakeholder and research team expectations and how this relates to the planning and deployment of catwalk or prêt-à-porter technologies. Lastly, we state how this research has vital implications for planning and enacting interventions and sequences of interactions with stakeholders and, crucially, in the planning of future research projects.


Author(s):  
Ahmad Taher Azar

Biomedical Engineering is a branch that unites engineering methods with biological and medical sciences in order to enhance the quality of our lives. It focuses on understanding intricate systems of living organisms, and on technology development, algorithms, methods, and advanced medical knowledge, while enhancing the conveyance and success of clinical medicine. With engineering principles, biomedical engineering improves the procedures and devices to overcome health care and medical problems by combining both biology and medicine with engineering principals. In the field of Biomedical Engineering, engineers usually need to have background knowledge from such different fields of engineering as electronics, mechanical, and chemical engineering. Specialties in this field like bioinstrumentation, biomechanics, biomaterials, medical imagining, clinical engineering, bioinformatics, telemedicine and rehabilitation engineering, which will be introduced in this chapter together with an overview of the field of biomedical engineering.


2016 ◽  
pp. 599-619
Author(s):  
Elizabeth FitzGerald ◽  
Anne Adams

Development and deployment of location-based systems is a key consideration in the design of new mobile technologies. Critical to the design process is to understand and manage the expectations of stakeholders (including funders, research partners and end users) for these systems. In particular, the way in which expectations impact upon technology development choices between small-scale, ‘high tech' innovations or larger scalable solutions. This paper describes the differences in a revolutionary design process (for ‘high tech' prototypes or catwalk technologies) versus an evolutionary design process (for scalable or prêt-a-porter systems), as exemplified in two location-based mobile interaction case studies. One case study exemplifies a revolutionary design process and resultant system, and the other an evolutionary design process and system. The use of these case studies is a clear natural progression from the paper that first described the concept of ‘catwalk technologies' (Adams et al, 2013), which itself drew upon research that used mobile devices for outdoor 'in the wild' locations. This paper presents a set list of fifteen heuristic guidelines based upon an analysis of these case studies. These heuristics present characteristics and key differences between the two types of design process. This paper provides a key reference point for researchers, developers and the academic community as a whole, when defining a project rationale for designing and developing technical systems. In addition, we refer to the role of the researcher/research team in terms of guiding and managing stakeholder and research team expectations and how this relates to the planning and deployment of catwalk or prêt-à-porter technologies. Lastly, we state how this research has vital implications for planning and enacting interventions and sequences of interactions with stakeholders and, crucially, in the planning of future research projects.


2021 ◽  
Vol 3 (1) ◽  
pp. 106-119
Author(s):  
Marina Valeeva

Research activity is an integral function of modern higher education, since withoutthe development of scientific research, the training of graduates cannot be carried out at asufficient level of modern preparation of scientific research. Despite the fact that scientificactivity is carried out in two interrelated forms - individual and collective, in recent years, mostscientific research is carried out by scientific teams, and not by individual scientists. On thebasis of this important issue, research the effectiveness and efficiency of research teams,through the methods of their formation and functioning. In addition, the issue of motivation for scientific work of the research and teaching staff of the university is important. To analyzethe above aspects, we carried out a sociological study that was implemented in two stages - amass survey (N = 211) and a series of in-depth interviews (N = 15) among scientists of the UralFederal University named after the first President of Russia B.N.Yeltsin. The article presentssome of the results of the analysis, in particular, the author comes to the conclusion that establishingties between scientists and joint work in a research team is an important conditionfor increasing the productivity and efficiency of scientific activity, and the desire for scientificcooperation indicates a desire to achieve a higher level of performance scientific activity.


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