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Aqueous Zn-based batteries represent a viable and cost-effective technology for electricity grid storage. Here, the authors discuss the most challenging aspects to bridge academic and industrial research and accelerate the adoption of this class of devices on a large scale.
Sustainable Development Goal 17 focuses on partnerships that can enable the achievement of other SDGs. In this comment the authors examine the obstacles to the success of SDG 17 and suggest measures to overcome these.
Synthetic biology has played a key role in responding to the current pandemic. Biofoundries are critical synthetic biology infrastructure which should be available to all nations as a part of their independent bioengineering, biosecurity, and countermeasure response systems.
The benefit from immune checkpoint inhibitors is tempered by immunologic toxicities, which involve diverse organs, have varying biology, onset time, and severity. Herein, we identify important areas of controversy and open research questions in the field of immune-related toxicity.
Among the existing machine learning frameworks, reservoir computing demonstrates fast and low-cost training, and its suitability for implementation in various physical systems. This Comment reports on how aspects of reservoir computing can be applied to classical forecasting methods to accelerate the learning process, and highlights a new approach that makes the hardware implementation of traditional machine learning algorithms practicable in electronic and photonic systems.
The protein corona is a key component controlling biological activity, that develops on foreign materials when introduced to biological environments. This comment discusses the risk of errors from poor methodology that can lead to misinterpretation and poor corona analysis which can impact diagnostic and clinical applications.