To survive, animals, including human beings, have developed an amazing ability to learn the constantly changing environment. Specifically, detecting specific odorants in a noisy, variable background is crucial for finding food and water, mating, and avoiding potential dangers. For this purpose, rodents have developed an olfactory system that is powerful...
This dissertation aims to redefine the concept of pain as it appears in literary studies and demonstrate how the new definition garners insight into the interwovenness of literature and physiology in the mid-eighteenth century. It challenges the claim that pain is opposed to language by adopting a new materialist concept...
Modeling the mechanical performance of metal produced with additive manufacturing (AM) has proven to be a challenging task. In the as-built state, these materials have been shown to exhibit strong heterogeneity and anisotropy. Even after post-processing, such as heat treatment or hot isostatic pressing and depending on the alloy, some...
Molecules are highly social: they recognize one another and form bonds with those they are attracted to and repel those they are not. Some molecules establish strong bonds, while others form weak, transient associations. These interactions are ubiquitous in Nature and are integral to life. For at the basis of...
The application of formal multilayer networks (MLNs)—networks which contain multiple types of relationships, data types, or other additional features of complexity and connectivity—has recently become popular in many fields. Areas of study ranging from social science to biology have utilized MLNs to explore, describe, and analyze interconnected complex systems. MLNs...
Metal Additive manufacturing (AM) processes build 3D objects by heating and consolidating material in a point-by-point manner. Unlike traditional manufacturing methods, AM allows the material properties of each point in the build to vary by controlling process conditions locally. The process parameters can be considered as inputs to the AM...
This dissertation describes modifications to the surface of colloidal semiconductor quantum dots (QDs) to improve their use as photocatalysts for charge transfer reactions. The surface atoms and ligands of these nanoparticles can interfere with direct charge transfer to a reagent by inhibiting binding, forming trap states, or acting as competitive...
Understanding the outcomes of interactions from assessing shoot traits has practical applications and has elucidated major ecological patterns. Roots and shoots differ in their functions and can differ in responses to abiotic and biotic stimuli. And while roots are more difficult to characterize because they tangle and are embedded in...
Label-free assays, and particularly those based on the combination of mass spectroscopy with surface chemistries, enable high-throughput experiments of a broad range of reactions. However, these methods can still require the incorporation of functional groups that allow immobilization of reactants and products to surfaces prior to analysis. In this thesis,...
In this dissertation I leverage new data from the global music recording industry to study the social foundations of creativity and the relationship between product novelty, gender, and commercial success. In Chapter 1, I investigate how different kinds of social connection influence the creation of novel cultural products. Using data...
This thesis explains the works that have been completed towards the Ph.D. thesis of the author and discusses the conclusions derived from the results, as well as what future holds for stress-related mobile health research. Main focus of the thesis is use of wearable sensors to understand physiological manifestation of...
Understanding structure-property relationships for polymer nanocomposites is one of the primary challenges in discovering new, light weight, multifunctional advanced materials. Polymer nanocomposites are a class of advanced materials comprised of soft polymer matrix and nano-filler inclusions. While it has been found qualitatively that enhancements of material properties could be achieved...
A growing body of research analyzes how corporate social responsibility programs are used to absorb and neutralize the social criticisms coming from social and environmental movements and to superficially respond to the ensuing new regulations. If companies have powerful tools to resist changes and blunt the meaning of the law,...
Maneuvering your limbs requires both accurate commands for how to move, and accurate feedback of their true movements. Conventional prosthetic arms currently lack this sense of proprioceptive feedback, which can make daily tasks difficult without close visual monitoring. Although studies have successfully provided artificial proprioceptive feedback to improve control, this...
Deep learning is a new area of machine learning research that allows deep neural networks composed of multiple processing layers to learn representations of data with multiple levels of abstraction. Deep learning has helped in achieving the objective of pushing machine learning closer to one of its original goals of...
Neurons are sensitive to the mechanical properties of their environment and show better growth, survival and differentiation when they are cultured in soft environments with mechanical properties similar to those of the brain compared to other tissues. Within the central nervous system (CNS), there is also a range of mechanical...
Desmosomes, complex structures found at intercellular junctions, are important for the development, structural integrity, and immune barrier of the skin. Extracellular components of the desmosome connect neighboring cells and intracellular interactions amongst cadherin, armadillo, and plakin proteins anchor the desmosome to intermediate filaments. Beyond their canonical role as “spot welds”...
With the growing size of networks and datasets and the lack of centralized access to information, distributed control and optimization become inevitable. In the first part of this thesis, we develop an asynchronous Newton-based distributed optimization algorithm and analyze its convergence properties. Our algorithm benefits from the fast convergence properties...
Organic solar cells (OSC) are a next generation solar energy technology that offers the advantages of scalable fabrication, light weight, flexibility, and earth-abundant starting materials. Despite tremendous advances in OSC power conversion efficiency (PCE) over the last decade, active layer material selection and optimization is still largely empirical. In order...
The authors of the article “Toward Environmentally Sustainable Digital Preservation” created this workshop as a space for participants to discuss issues of environmental sustainability in digital preservation, identify and enact change toward sustainable practices in their organizational contexts, and identify and plan further research. The workshop was run for the...