Results 61 to 70 of about 69,394 (286)
A bimetallic Mn–Ca nanoreactor (MCC) is developed as a non‐nucleotide STING nanoagonist for cancer metalloimmunotherapy. MCC induces Ca2+ overload and hydroxyl radical generation, resulting in mitochondrial damage and mtDNA release. The released mtDNA cooperates with Mn2+ to robustly activate cGAS–STING signaling.
Xin Wang Mo +7 more
wiley +1 more source
The properties of Milky Way satellite galaxies have important implications for galaxy formation, reionization, and the fundamental physics of dark matter.
C. Y. Tan +87 more
doaj +1 more source
The nature of interstellar dust as revealed by light scattering
Interstellar dust was first identified through the extinction that it causes of optical starlight. Initially, observational and theoretical studies of extinction were made to identify simple ways of removing the effect of extinction.
D. A. Williams
doaj +1 more source
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu +14 more
wiley +1 more source
In this invited review I discuss the calibration and applications of the period-luminosity relation of classical Cepheid and RR Lyrae stars. After a brief introduction, starting with results from Hipparcos and discussing some post-Hipparcos era developments, I focus on recent results using Gaia Data Release 3 data.
openaire +2 more sources
Novel constraints on fermionic dark matter from galactic observables I: The Milky Way [PDF]
We have recently introduced a new model for the distribution of dark matter (DM) in galaxies based on a self-gravitating system of massive fermions at finite temperatures, the Ruffini-Arg\"uelles-Rueda (RAR) model.
Argüelles, C. R. +3 more
core +3 more sources
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
The Absolute Age of Milky Way Globular Clusters
Globular clusters (GCs) provide statistically significant coeval populations of stars spanning various evolutionary stages, allowing robust constraints on stellar evolution model parameters and ages.
Jiaqi (Martin) Ying +4 more
doaj +1 more source
Revealing black holes with Gaia
We estimate the population of black holes with luminous stellar companions (BH-LCs) in the Milky Way (MW) observable by Gaia. We evolve a realistic distribution of BH-LC progenitors from zero-age to the current epoch taking into account relevant physics,
Breivik, Katelyn +2 more
core +1 more source
Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao +8 more
wiley +1 more source

