Results 321 to 330 of about 905,566 (388)

Fast pH‐Driven Solubilization Method of Realgar (As4S4) to Reduce the Toxicity of Arsenic [As(III)] for Medicinal Purposes

open access: yesAdvanced Science, EarlyView.
Arsenic trioxide transformed acute promyelocytic leukemia therapy and shows promise against HIV. A new method to solubilize the mineral realgar produces different arsenic species depleting the main arsenic target, nuclear PML protein, and retaining effects on leukemic and HIV reservoir cells, while minimizing off‐target damage.
Bojana Lucic   +20 more
wiley   +1 more source

Overcoming Extreme Ammonia Inhibition on Methanogenesis by Artificially Constructing a Synergistically Community with Acidogenic Bacteria and Hydrogenotrophic Archaea

open access: yesAdvanced Science, EarlyView.
This study proposes a two‐step biological strategy to synergistically enhance the three stages of anaerobic digestion, ultimately eliminating the extreme ammonia inhibition and breaking through the inefficiency bottleneck of conventional biotechnology.
Heng Wu   +6 more
wiley   +1 more source

A Soft‐Soft Contact Triboelectric Nanogenerator with a Ternary Four‐Phase Structure for Self‐Powered High‐Efficiency Dust Removal on Mars

open access: yesAdvanced Science, EarlyView.
The frequent dust storms and charged dust particles on Mars pose significant challenges to the power generation efficiency and service life of solar panels during exploration missions. This paper proposes a novel wind‐driven ternary four‐phase soft‐soft contact triboelectric nanogenerator (FPS‐TENG) for dust removal.
Fei Yang   +6 more
wiley   +1 more source

Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture

open access: yesAdvanced Science, EarlyView.
This article reviews the current system architectures for smart agriculture and proposes a blockchain‐empowered hierarchical cyber‐physical system (H‐CPS) framework. It discusses the challenges and outlines future research directions, including the use of semantic blockchain to handle complex data and models.
Xiaoding Wang   +8 more
wiley   +1 more source

Targeted Intervention Strategies for Maternal–Offspring Transmission of Christensenellaceae in Pigs via a Deep Learning Model

open access: yesAdvanced Science, EarlyView.
This study deciphers maternal‐driven microbial transmission in pigs using a deep learning model (maternal–offspring microbial transmission model), identifying Christensenellaceae R‐7 group as a key transmitted taxon. Filtered galacto‐oligosaccharides‐targeted Christensenellaceae R‐7 group alters offspring microbial functions via maternal ...
Haibo Shen   +9 more
wiley   +1 more source

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