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This thesis develops novel multi-degrees-of-freedom flexure-based force sensors by exploiting white light interferometry. Fabry-Pérot interferometry measurement has nanometric accuracy which yields sub milli-Newton force sensing accuracy. Such force sensin ...
Molecular volcano plots, a tool generally used to identify ideal catalysts for a given chemical transformation, are employed in an alternative fashion to examine the substrate scope by revealing the range of substrates that can be accommodated by a single ...
Efficient medical care fundamentally relies on the ability to provide a timely and accurate diagnosis. Thanks to advances in biomedical research, specific molecules called diagnostic molecular biomarkers have been discovered in the human body that help ind ...
The field of genomics is likely to become the largest producer of data as a consequence of the large-scale application of next-generation sequencing technology for biological research and personalized medical treatments. The raw sequence data produced by t ...
Coordinated distributed experiments (CDEs) enable the study of large-scale ecological patterns in geographically dispersed areas, while simultaneously providing broad academic and personal benefits for the participants. However, the effective involvement o ...
In the era of big data, new transportation-related concepts and methodologies need to be proposed for understanding how congestion propagates. pNEUMA, a unique dataset that was acquired during a first-of-its-kind experiment with a swarm of drones over a de ...
Surface sediments can accumulate contaminants that affect microorganisms and invertebrates and disturb benthic ecological functions. However, effects of contaminants on ecological functions supported by sediment communities are understudied. Here, we teste ...
Classical molecular dynamics simulations have recently become a standard tool for the study of electrochemical systems. State-of-the-art approaches represent the electrodes as perfect conductors, modeling their responses to the charge distribution of elect ...
High-level synthesis tools, both commercial and academic, typically rely on static scheduling to produce high-throughput pipelines. However, in applications with unpredictable memory accesses or irregular control flow, these tools need to make pessimistic ...
In the era of big data, new transportation-related concepts and methodologies need to be proposed to understand how congestion propagates. pNEUMA, a unique dataset that was acquired during a first-of-its-kind experiment using a swarm of drones over a dense ...
