Results 141 to 150 of about 6,064 (288)
This study identifies RNA‐binding protein RBM25 as a broad‐spectrum antiviral factor acting independently of type I interferon. It blocks viral entry by suppressing GTPase Rab22a via the RC3H1‐mediated destabilization of Rab22a mRNA. Viral downregulation of RBM25 enhances GTPase Rab22a expression and viral entry, revealing an unreported post ...
Yingying Ding +13 more
wiley +1 more source
The Sequencing Problem in Sequential Investigation Processes [PDF]
Many decision problems in various fields of application can be characterized as diagnostic problems trying to assess the true state (of the world) of given cases.
Jürgen-Peter Kretschmer
core
Ergonomic Sponge Electrodes From Recycled PEDOT:PSS
ABSTRACT Emerging technologies in human–machine interfacing increasingly aim to develop solutions that naturally conform to the body's unique characteristics. Ergonomics and electrical performance in cutaneous sensing are crucial for accurate and reliable translation of biosignals.
Matías Ceballos +3 more
wiley +1 more source
Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam +3 more
wiley +1 more source
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Discovering associations is one of the fundamental tasks of data mining. Its aim is to automatically seek for dependencies from vast amounts of data. The task results in socalled association rules, which are of form: If A occurs in the data then B occurs
Ahola, Jussi
core +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining. [PDF]
Floricel C +5 more
europepmc +1 more source
Temporal Pattern Mining in Dynamic Environments
In this work an approach is presented which applies unsupervised symbolic learning to a qualitative abstraction of dynamic scenes in order to create frequent temporal patterns and prediction rules.
Von Andreas D. Lattner, Lattner, Andreas
core
This work demonstrates a new strategy for reversible protonic ceramic cells (R‐PCCs). By developing highly hydrophilic oxides, efficient operation is achieved under low water vapor pressures while maintaining high performance and stability. This approach addresses the challenge of hydrogen production in freshwater‐scarce regions.
Nai Shi +15 more
wiley +1 more source

