Results 111 to 120 of about 411,480 (264)
Advanced Science, EarlyView.A hyaluronic acid methacrylate (HAMA) hydrogel incorporating DNA tetrahedrons loaded with Asiatic acid (TDN@AA) was developed. HM‐TDN@AA promotes angiogenesis of endothelial cells (ECs), inhibits osteoclastogenesis from bone marrow–derived macrophages (BMDMs), and enhances osteogenesis of mesenchymal stem cells (MSCs) via STAT3‐mediated mitochondrial ...
Yiwen Huang +9 more
wiley +1 more source
Chern-Simons theory on spherical Seifert manifolds, topological strings and integrable systems [PDF]
, 2015 We consider the Gopakumar-Ooguri-Vafa correspondence, relating ${\rm U}(N)$ Chern-Simons theory at large $N$ to topological strings, in the context of spherical Seifert 3-manifolds. These are quotients $\mathbb{S}^{\Gamma} = \Gamma\backslash\mathbb{S}^3$
G. Borot, A. Brini
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Topological aspects of string theories
Nuclear Physics B, 1987 In previous work, a new action principle for strings and superstrings in arbitrary dimensions was developed. It led to a classification of strings similar to the classification of point particles as massive, massless and tachyonic. Topological aspects of four-dimensional strings were also investigated.
A. P. BALACHANDRAN +3 more
openaire +3 more sources
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Some Aspects of Mathematical and Physical Approaches for Topological Quantum Computation [PDF]
Computer Science Journal of Moldova, 2011 A paradigm to build a quantum computer, based on topological invariants is highlighted. The identities in the ensemble of knots, links and braids originally discovered in relation to topological quantum field theory are shown: how they define Artin ...
V. Kantser
doaj
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
B-strings on non-Kählerian manifolds
Nuclear Physics B, 2016 We explain how to couple topological B-models whose targets are non-Kählerian manifolds to topological gravity and to thus define corresponding topological strings.
Camillo Imbimbo
doaj +1 more source
Machine Learning Unlocks New Directions in Halide Perovskite Research
ChemElectroChem, EarlyView.GA: This frontispiece visualizes the role of machine learning (ML) in advancing halide perovskite research. It highlights how ML enables the prediction of material properties, guides compositional design, and supports the development of stable, high‐performance perovskite devices for optoelectronic applications, providing new strategies to overcome ...
Hyejin Choe +3 more
wiley +1 more source
Topological Phase Transition in a One-Dimensional Elastic String System
Crystals, 2019 We show that topological interface mode can emerge in a one-dimensional elastic string system which consists of two periodic strings with different band topologies.
Ya-Wen Tsai +3 more
doaj +1 more source