Results 111 to 120 of about 449,355 (209)

MPP8 Facilitates DNA DSB Repair via NHEJ to Promote Chemoresistance of TNBC Independent of Methyl‐H3K9 Binding

open access: yesAdvanced Science, EarlyView.
Chemoresistance is often linked to elevated DNA repair. MPP8 is found to promote breast cancer chemoresistance as a novel NHEJ accessory factor independent of its epigenetic functions. Through multiple protein interactions, MPP8 facilitates association of DNAPK and ligase complexes to promote DNA repair progression.
Rupa Kumari, Jia Fang
wiley   +1 more source

Optical Access to Dark Excitons Via Spin–Phonon Fano Interference

open access: yesAdvanced Science, EarlyView.
Dark excitons in quantum dots neither absorb nor emit light and stay hidden from optical spectroscopy. Quantum interference now reveals them: light scattered by acoustic phonons interferes with a phonon‐assisted spin flip between bright and dark exciton, carving a Fano dip into the spectrum whose position gives the bright–dark splitting. Magnetic field,
Janina J. Schindler   +7 more
wiley   +1 more source

Transforming Gas Separations with Scalable Carbon Molecular Sieve Membranes Enabled by Chemically Tuned Hollow‐Fiber Precursors

open access: yesAdvanced Science, EarlyView.
We established a broadly tunable network‐polymer platform for polyimide‐based precursor membranes, extendable to various diamines. Ultrahigh selectivity with demonstrated aging resistance, and scalability via hollow fiber CMS engineering collectively establishes broad and lasting impact for the membrane science and engineering communities.
Yuhe Cao   +6 more
wiley   +1 more source

Omega Psi Phi Fraternity Membership Certificate for A.O. Steele, November 11, 1924

open access: yes
Omega Psi Phi Fraternity Membership Certificate for A.O.
Omega Psi Phi Fraternity. Psi Phi Chapter
core   +1 more source

AI‐EXAFS: Physics‐Informed Prediction of EXAFS from Atomic Structure

open access: yesAdvanced Science, EarlyView.
AI‐EXAFS presents a neural network to reproduce EXAFS. Trained on synthetic data and with a careful selection of the settings both for the physical representation of the system and following the experimental heuristic loss functions, the model is capable of reproducing EXAFS spectra for molecules from the tridimensional structure.
Javier Heras‐Domingo   +6 more
wiley   +1 more source

Sliding Ferroelectric Metals: An Emerging Frontier

open access: yesAdvanced Science, EarlyView.
This Perspective highlights recent advances in sliding ferroelectric metals, focusing on the coexistence of switchable polarization and metallicity. Representative nonmagnetic and magnetic systems are discussed, together with Berry‐curvature memory, superconducting switching, triply‐coupled switching, magnetoelectric coupling, and electrically ...
Ying Yang   +3 more
wiley   +1 more source

RBMS1 Contributes to Early Arteriovenous Fistula Neointimal Remodeling Through Modulation of VSMC Phenotypic Responses

open access: yesAdvanced Science, EarlyView.
Postoperative arteriovenous fistulas exhibit increased RBMS1 in vascular smooth muscle cells (VSMCs). In experimental AVFs, RBMS1 overexpression aggravates, whereas deletion attenuates, neointimal hyperplasia. RBMS1 binds MPZL1 mRNA and promotes exon 5 skipping to generate MPZL1‐Δ5, which interacts with G3BP1 to activate AKT, driving VSMC proliferation,
Zongda Li   +14 more
wiley   +1 more source

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

open access: yesAdvanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui   +4 more
wiley   +1 more source

An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization

open access: yesAdvanced Science, EarlyView.
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang   +9 more
wiley   +1 more source

Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing

open access: yesAdvanced Science, EarlyView.
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim   +11 more
wiley   +1 more source

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