Deep learning has recently revolutionized robot perception in many canonical robotic applications, such as autonomous driving. However, a similar transformation has yet to occur in more harsh environments including underwater and underground. This is due in part to the difficulty in deploying robots in these environments, which lack large real...
Hydrogen is the green fuel that can be produced from water through electrolysis and used via hydrogen fuel cells to generate electricity with zero carbon dioxide emission. The commercialization of electrolyzers and fuel cells is the critical step to achieving global carbon neutrality. However, it is severely hampered by the...
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Figure 6.21 Magnitudes of EXAFS Fouriertransforms and fits to the first-shell of in-situ
Chalaniline A, an unusual xanthone-like aminofulvene with modest cytotoxicity, and chalaniline B [1-anilino-2,8-dihydroxy-3-(hydroxymethyl)xanthone], an antibacterial aminoxanthone, were previously isolated by Loesgen and coworkers from vorinostat-treated Chalara sp. 6661. Of note, the anilino moiety found within both chalaniline structures originates from biotransformation of the HDAC inhibitor vorinostat (SAHA, suberanilohydroxamic acid) by...
TiO2 is a versatile wide bandgap transparent semiconducting oxide with three well known polymorphs: Anatase, Rutile and Brookite. These crystal structures are desired for many industrial applications mainly for their photocatalytic activity, oftentimes in thin-film form. Thin-film crystalline polymorphs of TiO2 are often made by physical vapor deposition on a...
The likelihood of a Cascadia Subduction Zone (CSZ) earthquake is estimated between 37 to 42% in the next 50 years, leading to strong shaking, liquefaction, landsliding, and other seismic ground failure resulting in major impacts to critical lifelines such as the western power grid. Electrical power is essential for continued...
Microplastics (<5mm) are a ubiquitous environmental pollutant that have the potential to cause significant harm in many fish species. Therefore, understanding the quantities at which they are being consumed by living organisms is crucial for characterizing risk. There are currently gaps in the microplastic literature regarding microplastic data from finfish...
Microplastics (<5mm) are a ubiquitous environmental pollutant that have the potential to cause significant harm in many fish species. Therefore, understanding the quantities at which they are being consumed by living organisms is crucial for characterizing risk. There are currently gaps in the microplastic literature regarding microplastic data from finfish...
Unlike other biosensing, electrochemical biosensor has the advantages of robustness, easy miniaturization, excellent detection limits, and capability in handling small analyte volumes. The detection selectivity of the electrochemical biosensors is mainly supported by bioreceptors. However, these receptors always suffer from the performance variation caused by the environment and the thermal-...
Stein's method initially introduced in 1970 by C. Stein is a powerful technique for bounding the distance between the laws of two real-valued random variables. Stein's method has been used to prove distributional convergence to many standard probability distributions such as normal, multivariate normal, Poisson and Brownian motion approximation. In...
Microplastics are ubiquitous in our oceans, yet we are still clarifying what risks they pose to marine organisms, which can be challenging due to their trait diversity and spatial patchiness. Laboratory-based studies assessing risk demonstrate that many marine animals internalize microplastics, either actively through ingestion or passively via respiration. However,...