Although alkaline zinc-manganese dioxide batteries have dominated the primary battery
applications, it is challenging to make them rechargeable. Here we report a high-performance …

This paper uses nonparametric efficiency analysis technique to estimate the energy efficiency,
potential emission reductions and marginal abatement costs of energy-related CO 2 …

Providing various wireless connectivities for vehicles enables the communication between
vehicles and their internal and external environments. Such a connected vehicle solution is …

We evaluate whether features extracted from the activation of a deep convolutional network
trained in a fully supervised fashion on a large, fixed set of object recognition tasks can be re-…

Metaverse, as an evolving paradigm of the next-generation Internet, aims to build a fully
immersive, hyper spatiotemporal, and self-sustaining virtual shared space for humans to play, …

In this retrospective case series, chest CT scans of 21 symptomatic patients from China
infected with the 2019 novel coronavirus (2019-nCoV) were reviewed, with emphasis on …

Rechargeable aqueous Zn-ion batteries are attractive cheap, safe and green energy storage
technologies but are bottlenecked by limitation in high-capacity cathode and compatible …

… ∗This work was done when Ning Zhang was in Berkeley. †Prof. Darrell was supported in
part by DARPA; AFRL; DoD MURI award N000141110688; NSF awards IIS-1212798, IIS-…

This paper proposes a meta-frontier non-radial directional distance function to model energy
and CO 2 emission performance in electricity generation. This approach allows for the …

Since the inception of Bitcoin, cryptocurrencies and the underlying blockchain technology
have attracted an increasing interest from both academia and industry. Among various core …