No / This is a comprehensive study of a large range of biometric and optical parameters in people with type 1 diabetes. The parameters of 74 people with type 1 diabetes and an age matched control group were assessed. Most of the people with diabetes had low levels of neuropathy, retinopathy and nephropathy. Marginal or no significant differences were found between groups for corneal shape, corneal thickness, pupil size, and pupil decentrations. Relative to the control group, the diabetes group demonstrated smaller anterior chamber depths, more curved lenses, greater lens thickness and lower lens equivalent refractive index. While the optics of diabetic eyes make them appear as older eyes than those of people of the same age without diabetes, the differences did not increase significantly with age. Age-related changes in the optics of the eyes of people with diabetes need not be accelerated if the diabetes is well controlled.

This thesis has its starting point in the digitalization of society focusing on the rapid development of mobile technologies and the increasing interplay between humans and machines. The use of information and communication technologies (ICT) is extending at a fast pace, affecting all parts of society, and the everyday life of most individuals. The fast progressing development of mobile technologies (smartphones and their accessories/ wearable’s) is creating new trends such as health tracking and quantified self. These mobile technologies can register an increasing number of physiological features, implying that the interconnection between the physiological and digital systems is increasing. This creates a range of new possibilities within health and medical research but it also creates new challenges and the need for new knowledge in how we relate these devices to our bodies. In the psychological perspective, smartphone use is increasing and previous studies imply that these devices are affecting our behaviour, our mental health as well as our cognitive functions. This implies for a need to understand the relation we have to these devices also in a psychological perspective, focusing on emotions and cognition. This study set out to explore the relation between humans and technologies from a systems perspective. The research question involved: How are users and smartphones related in physical and psychological perspectives? The methods used were questionnaires and interviews. The respondents were students in two European universities, who described their experiences of smartphone use, and three doctors (in medicine and biomedicine) that provided interesting aspects in how mobile technologies can be related to the human body from a system perspective   In a physical perspective the users as well as their physical environments could be described as converging with the digital systems. The need of being connected and have access to all life-spheres at once seemed to be an important driving force, implying that users are dependent on information and a converged life-style. In a psychological perspective, the emotional bond seemed stronger then the actual physical need. The perceptions of smartphones differed, but a common denominator described by both Swedish and Albanian users, was the perception of the smartphone as something with human-like features, comparable to a friend. The last part of the study concerned if smartphones can be seen as a new entity of our own system, comparable to an organ. The result suggests that this depends on the individual use, if the technologies is used to sustain health, the value it provides, and it is also a matter of the users ontological believes. The concept of physio-digital convergence is proposed as a new concept to analyse the development of increasing use of mobile technologies further.

Modern complex dynamical systems typically possess a multiechelon hierarchical hybrid structure characterized by continuous-time dynamics at the lower-level units and logical decision-making units at the higher-level of hierarchy. Hybrid dynamical systems involve an interacting countable collection of dynamical systems defined on subregions of the partitioned state space. Thus, in addition to traditional control systems, hybrid control systems involve supervising controllers which serve to coordinate the (sometimes competing) actions of the lower-level controllers. A subclass of hybrid dynamical systems are impulsive dynamical systems which consist of three elements, namely, a continuous-time differential equation, a difference equation, and a criterion for determining when the states of the system are to be reset. One of the main topics of this dissertation is the development of stability analysis and control design for impulsive dynamical systems. Specifically, we generalize Poincare's theorem to dynamical systems possessing left-continuous flows to address the stability of limit cycles and periodic orbits of left-continuous, hybrid, and impulsive dynamical systems. For nonlinear impulsive dynamical systems, we present partial stability results, that is, stability with respect to part of the system's state. Furthermore, we develop adaptive control framework for general class of impulsive systems as well as energy-based control framework for hybrid port-controlled Hamiltonian systems. Extensions of stability theory for impulsive dynamical systems with respect to the nonnegative orthant of the state space are also addressed in this dissertation. Furthermore, we design optimal output feedback controllers for set-point regulation of linear nonnegative dynamical systems. Another main topic that has been addressed in this research is the stability analysis of large-scale dynamical systems. Specifically, we extend the theory of vector Lyapunov functions by constructing a generalized comparison system whose vector field can be a function of the comparison system states as well as the nonlinear dynamical system states. Furthermore, we present a generalized convergence result which, in the case of a scalar comparison system, specializes to the classical Krasovskii-LaSalle invariant set theorem. Moreover, we develop vector dissipativity theory for large-scale dynamical systems based on vector storage functions and vector supply rates. Finally, using a large-scale dynamical systems perspective, we develop a system-theoretic foundation for thermodynamics. Specifically, using compartmental dynamical system energy flow models, we place the universal energy conservation, energy equipartition, temperature equipartition, and entropy nonconservation laws of thermodynamics on a system-theoretic basis.