| 1. |
- Astell, A. J., et al.
(author)
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INLIFE - Independent Living Support Functions for the Elderly: Technology and Pilot Overview
- 2018
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In: INTELLIGENT ENVIRONMENTS 2018. - 9781614998747 - 9781614998730 ; , s. 526-535
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Book chapter (other academic/artistic)abstract
- In this paper, we present the European H2020 project INLIFE (INdependent LIving support Functions for the Elderly). The project brought together 20 partners from nine countries with the goal of integrating into a common ICT platform a range of technologies intended to assist community-dwelling older people with cognitive impairment. The majority of technologies existed prior to INLIFE and a key goal was to bring them together in one place along with a number of new applications to provide a comprehensive set of services. The range of INLIFE services fell into four broad areas: Independent Living Support, Travel Support, Socialization and Communication Support and Caregiver Support. These included security applications, services to facilitate interactions with formal and informal caregivers, multilingual conversation support, web-based physical exercises, teleconsultations, and support for transport navigation. In total, over 2900 people participated in the project; they included elderly adults with cognitive impairment, informal caregivers, healthcare professionals, and other stakeholders. The aim of the study was to assess whether there was improvement/stabilization of cognitive/emotional/physical functioning, as well as overall well-being and quality of life of those using the INLIFE services, and to assess user acceptance of the platform and individual services. The results confirm there is a huge interest and appetite for technological services to support older adults living with cognitive impairment in the community. Different services attracted different amounts of use and evaluation with some proving extremely popular while others less so. The findings provide useful information on the ways in which older adults and their families, health and social care services and other stakeholders wish to access technological services, what sort of services they are seeking, what sort of support they need to access services, and how these services might be funded.
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| 2. |
- Cabrera-Trujillo, Remigio, 1969, et al.
(author)
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Electronic stopping from orbital mean excitation energies including both projectile and target electronic structure
- 2022
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In: Advances in Quantum Chemistry, Vol 85. - : Elsevier. - 0065-3276. - 9780323991889 ; , s. 327-342
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Book chapter (peer-reviewed)abstract
- In this work, we revisit our Bethe theory for the energy deposition of swift charged particles with electronic structure when colliding with atomic targets [Phys. Rev. A, 55 2864 (1997)]. As the projectile ion beam has a mixture of several projectile charge states, the electronic stopping cross section is the sum of contributions from all the Z1 electrons. We use the independent particle approximation for the mean excitation energies such that the electronic stopping cross section becomes a sum of contributions from all the target electrons, N2. We use an analytical expression of the generalized oscillator strength based on the Harmonic Oscillator approximation such that the stopping cross section becomes a function of only the orbital mean excitation energy, I0i. These orbital mean excitation energies determine the atomic mean excitation energy I0 via the Bragg's rule. The projectile electronic density for a given number of electrons N1 ≤ Z1 is derived from the Local Plasma Approximation and we thereby obtain an analytic expression for the total stopping cross section for projectiles with structure in terms of the target orbital mean excitation energies within the First Born Approximation. We compare the results of our calculations for several projectile–target combination to experiment showing an excellent agreement to the experimental data available in the literature.
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| 3. |
- Cammoun, L., et al.
(author)
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A Review of Tensors and Tensor Signal Processing
- 2009
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In: Tensors in Image Processing and Computer Vision. - London : Springer London. - 9781848822986 ; , s. 1-32
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Book chapter (peer-reviewed)abstract
- Tensors have been broadly used in mathematics and physics, since they are a generalization of scalars or vectors and allow to represent more complex properties. In this chapter we present an overview of some tensor applications, especially those focused on the image processing field. From a mathematical point of view, a lot of work has been developed about tensor calculus, which obviously is more complex than scalar or vectorial calculus. Moreover, tensors can represent the metric of a vector space, which is very useful in the field of differential geometry. In physics, tensors have been used to describe several magnitudes, such as the strain or stress of materials. In solid mechanics, tensors are used to define the generalized Hooke’s law, where a fourth order tensor relates the strain and stress tensors. In fluid dynamics, the velocity gradient tensor provides information about the vorticity and the strain of the fluids. Also an electromagnetic tensor is defined, that simplifies the notation of the Maxwell equations. But tensors are not constrained to physics and mathematics. They have been used, for instance, in medical imaging, where we can highlight two applications: the diffusion tensor image, which represents how molecules diffuse inside the tissues and is broadly used for brain imaging; and the tensorial elastography, which computes the strain and vorticity tensor to analyze the tissues properties. Tensors have also been used in computer vision to provide information about the local structure or to define anisotropic image filters.
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