Results 131 to 140 of about 971,523 (344)
This review synthesizes the evolution of radiative heat transfer, emphasizing the transition from far‐field to near‐field regimes. Traditional frameworks, such as Planck's law, are revisited alongside modern innovations like fluctuational electrodynamics. Applications span nanoscale thermal management, energy harvesting, and thermophotovoltaic systems.
Ambali Alade Odebowale+6 more
wiley +1 more source
I review Lorentzian causality theory paying particular attention to the optimality and generality of the presented results. I include complete proofs of some foundational results that are otherwise difficult to find in the literature (e.g. equivalence of
Ettore Minguzzi
semanticscholar +1 more source
The pre‐internalization phase of endocytosis remains poorly characterized at single‐cell levels. Single‐cell pre‐internalization mechanics are investigated using advanced robotic techniques. Cancer cells exhibit biphasic adhesion – rapid initial binding followed by reinforcement – while fibroblasts show gradual engagement.
Houari Bettahar+6 more
wiley +1 more source
Looking behind Granger causality [PDF]
Granger causality as a popular concept in time series analysis is widely applied in empirical research. The interpretation of Granger causality tests in a cause-effect context is, however, often unclear or even controversial, so that the causality label ...
Chen, Pu, Hsiao, Chih-Ying
core +1 more source
Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting
CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu+4 more
wiley +1 more source
Atomic transition rates for manipulating single silicon atoms in graphene with an electron beam in the scanning transmission electron microscope are experimentally extracted. Automated experiments and deep learning methods provide a means to probe and collect vast amounts of data to determine transition probabilities as a function of beam coordinate. A
Max Schwarzer+10 more
wiley +1 more source
Causal Agent based on Large Language Model [PDF]
Large language models (LLMs) have achieved significant success across various domains. However, the inherent complexity of causal problems and causal theory poses challenges in accurately describing them in natural language, making it difficult for LLMs to comprehend and use them effectively.
arxiv
High‐Efficiency Multi‐Level Beam Switching with Single‐Gate Tunable Metasurfaces Based on Graphene
The growing demand for ultra‐fast telecommunications, autonomous driving, and futuristic technologies highlights the crucial role of active beam steering at the nanoscale. This work theoretically presents a multi‐level beam‐switching dielectric metasurface with a graphene layer for active tuning, addressing challenges associated with achieving high ...
Juho Park+3 more
wiley +1 more source