Results 111 to 120 of about 797,770 (294)
Sterol engineering enables precise control of mRNA lipid nanoparticles by tuning membrane organization. Replacing cholesterol with bile acid‐derived sterols redirects protein expression from the liver to the spleen. Notably, CA‐20 LNP enhances antigen‐specific immune responses while exhibiting a favorable safety profile, highlighting sterols as a ...
Sanghyuk Jeon +27 more
wiley +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
On causally asymmetric versions of Occam's Razor and their relation to thermodynamics
restructured, 6 ...
openaire +2 more sources
Maternal exercise (ME) increases apelin abundance across maternal and fetal tissues and is associated with improved fetal osteogenesis under POLG mutation‐induced mitochondrial dysfunction. Apelin‐APJ signaling is linked to enhanced mitochondrial function, Akt phosphorylation, and ATF4‐RUNX2 association, supporting coordinated fetal bone remodeling ...
Song Ah Chae +5 more
wiley +1 more source
Identification of Bivariate Causal Directionality Based on Anticipated Asymmetric Geometries
Identification of causal directionality in bivariate numerical data is a fundamental research problem with important practical implications. This paper presents two alternative methods to identify direction of causation by considering conditional distributions: (1) Anticipated Asymmetric Geometries (AAG) and (2) Monotonicity Index.
openaire +2 more sources
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
In this study, the asymmetric relationship between the Risk Tendency Indices calculated for each investor type and Turkey's CDS premium is investigated.
Adnan Güzel, Yüksel İltaş
doaj +1 more source
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
Metabolic Memory in Cardiovascular Disease: Encoding, Propagation, and Therapeutic Targeting
Cardiovascular risk often persists after metabolic abnormalities are corrected. This conceptual Review frames such persistence as metabolic memory, encoded through a narrowing therapeutic window from reversible marks to irreversible damage, with continuous input from peripheral organs.
Cheng Cheng +12 more
wiley +1 more source
This graphical abstract presents gut microbial cross‐feeding through a Mechanism–Technology–Application framework. It summarizes major resource‐transfer modes, the experimental and computational tools used to establish causality, and potential interventions involving dietary substrates, live biotherapeutic products, and engineered microbes.
Chuankai Sun +7 more
wiley +1 more source

