Results 141 to 150 of about 327,247 (251)
Dihydroartemisinin Engages NQO1 and Promotes Ferroptosis‐Related Oxidative Stress in Non‐Small Cell Lung Cancer. ABSTRACT Dihydroartemisinin (DHA), a bioactive derivative of Artemisia annua L. (AAL), has shown antitumor activity in several malignancies, including non‐small cell lung cancer (NSCLC).
Xiuli Guo +11 more
wiley +1 more source
We study the Borel plane of the topological string free energy on all hypergeometric one-parameter Calabi-Yau models close to singular points in moduli space, focusing on the location of Borel singularities and the value of the associated Stokes ...
Simon Douaud, Amir-Kian Kashani-Poor
doaj +1 more source
Cosmic necklaces in string theory and field theory [PDF]
PhDIn this thesis we investigate astrophysical phenomena which arise in models with compact extra dimensions, focussing on the cosmological consequences of strings which wrap cycles in the internal space. Embedding our strings in the Klebanov-Strassler
Lake, Matthew James
core
A smart design strategy for NIR‐II organic fluorophores is proposed by combining self‐driven Iterative evolution, deep Learning, and fragment‐based assembly. This work establishes a broadly applicable approach for molecular design, accelerating the discovery of NIR‐II fluorophores and extending to optoelectronic materials and therapeutic compounds ...
Yu Zhang +6 more
wiley +1 more source
Cosmic microwave anisotropies from BPS semilocal strings
We present the first ever calculation of cosmic microwave background (CMB) anisotropy power spectra from semilocal cosmic strings, obtained via simulations of a classical field theory.
Martin Kunz (1271922) +4 more
core +1 more source
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
wiley +1 more source
ABSTRACT Drug–Drug Interaction (DDI) prediction is critical for ensuring patient safety, particularly under long‐tailed distributions, where frequent (head) interactions dominate whereas rare (tail) interactions remain underrepresented. Conventional loss functions such as cross‐entropy often tend to overfit head classes while they underperform on rare ...
Chao Liu +3 more
wiley +1 more source
ABSTRACT Unmanned Aerial Vehicle (UAV) inspection of overhead transmission line composite insulators allows for the rapid acquisition of large amounts of infrared images of insulators in service, which can be used to analyse their operational status. However, efficiently and accurately analysing these images remains a challenge.
Zhenan Zhou +7 more
wiley +1 more source
Machine Learning‐Assisted Development in Insulating Materials for High Voltage Applications
ABSTRACT The advancement of power systems imposes increasingly stringent performance requirements on insulating materials, making the development of high‐performance insulating materials a critical challenge in the field of electrical engineering. Traditional material development relies heavily on empirical trial‐and‐error approaches, which are time ...
Yichen Ran +17 more
wiley +1 more source
Les Houches lectures on matrix models and topological strings
In these lecture notes for the Les Houches School on Applications of Random Matrices in Physics we give an introduction to the connections between matrix models and topological strings.
Marino, M
core

