From Photons to Atoms - The Electromagnetic Nature of Matter

Motivated by a revision of the classical equations of electromagnetism that allow for the inclusion of solitary waves in the solution space, the material collected in these notes examines the consequences of adopting the modified model in the description of atomic structures. The possibility of handling "photons" in a deterministic way opens indeed a chance for reviewing the foundations of quantum physics. Atoms and molecules are described as aggregations of nuclei and electrons joined through organized photon layers resonating at various frequencies, explaining how matter can absorb or emit light quanta. Some established viewpoints are subverted, offering an alternative scenario. The analysis seeks to provide an answer to many technical problems in physical chemistry and, at the same time, to raise epistemological questions.Comment: The earlier version contains a number of flaws and typos. A throughout revision is neede

Investigating the Effects of Biochemical and Biophysical Signals on Vascular Smooth Muscle Cell Differentiation

In blood vessel engineering, an optimal bioartifical scaffold can be characterized as a 3D tubular structure with high porosity for nutrient diffusion and enough mechanical strength to sustain in vivo dynamic environment. The luminal surface of the scaffold is supposed to have a continuous layer of endothelial cell that is ideally non-immunogenic and non-thrombogenic while the media layer of the construct is assigned for the ingrowth of vascular smooth muscle cell which can provide structural integrity and contractility. While reconstructing endothelial cell layer has been at the center of interest in most polymeric vascular replacements related research, growing VSMCs has had less attention due to the high risk of their excessive proliferation and unexpected phenotype shifts that can result in vessel restenosis. In addition, finding a reliable source of VSMC can be a formidable task. As such, we believe that if VSMCs can be modulated to remain quiescent and functional over time after they are obtained from an alternative source, they might eventually be considered to incorporate into artificial vascular substitute. To achieve this goal, first we investigated the potential of using stem cell to differentiate into functional VSMCs. Next, we designed a 3D culture construct to mimic blood vessel with distinct layers and analyzed the effect of combining different biochemical and biomechanical signals on modulating VSMCs behavior. Finally, we developed a biomechanical model that can incorporate the mechanical property of differentiated cell and distinct layers with geometrical information acquired from confocal images to predict cellular behavior under different conditions. The results of these studies provide insights from a basic science prospective about the potential of using stem cell to obtain functional VSMCs and the impact of environmental factors on VSMCs behavior. Researchers may use these results to optimize the culture condition of VSMCs in order to modulate its proliferation, phenotype and mechanical property. The model developed in this study might be used to predict cellular behavior under different culture environments without repetitive experiments

Agent and object aware tracking and mapping methods for mobile manipulators

The age of the intelligent machine is upon us. They exist in our factories, our warehouses, our military, our hospitals, on our roads, and on the moon. Most of these things we call robots. When placed in a controlled or known environment such as an automotive factory or a distribution warehouse they perform their given roles with exceptional efficiency, achieving far more than is within reach of a humble human being. Despite the remarkable success of intelligent machines in such domains, they have yet to make a full-hearted deployment into our homes. The missing link between the robots we have now and the robots that are soon to come to our houses is perception. Perception as we mean it here refers to a level of understanding beyond the collection and aggregation of sensory data. Much of the available sensory information is noisy and unreliable, our homes contain many reflective surfaces, repeating textures on large flat surfaces, and many disruptive moving elements, including humans. These environments change over time, with objects frequently moving within and between rooms. This idea of change in an environment is fundamental to robotic applications, as in most cases we expect them to be effectors of such change. We can identify two particular challenges1 that must be solved for robots to make the jump to less structured environments - how to manage noise and disruptive elements in observational data, and how to understand the world as a set of changeable elements (objects) which move over time within a wider environment. In this thesis we look at one possible approach to solving each of these problems. For the first challenge we use proprioception aboard a robot with an articulated arm to handle difficult and unreliable visual data caused both by the robot and the environment. We use sensor data aboard the robot to improve the pose tracking of a visual system when the robot moves rapidly, with high jerk, or when observing a scene with little visual variation. For the second challenge, we build a model of the world on the level of rigid objects, and relocalise them both as they change location between different sequences and as they move. We use semantics, image keypoints, and 3D geometry to register and align objects between sequences, showing how their position has moved between disparate observations.Open Acces

Fine Art Pattern Extraction and Recognition

This is a reprint of articles from the Special Issue published online in the open access journal Journal of Imaging (ISSN 2313-433X) (available at: https://www.mdpi.com/journal/jimaging/special issues/faper2020)