Results 141 to 150 of about 5,726,311 (302)
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Willingness to pay and the sovereign debt contract [PDF]
This paper uses a contract theory model to argue that covenants ruling debt renegotiations are important to assure the sovereign willingness to pay. The model includes the following features: first, collective action clauses, exit consents, aggregation ...
Roque B. Fernández +1 more
core
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Risk Aversion, Sovereign Bonds and Risk Premium [PDF]
This paper analyzes the risk premium associated with sovereign bonds. We use the Generalized Method of Moments to estimate the level of risk aversion that is implied by the demand for such bonds.
Ferhan Salman
core
Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun +9 more
wiley +1 more source
Country Risk: An Empirical Approach to Estimate the Probability of Default in Emergent Markets [PDF]
In this paper we have suggested a new methodology to estimate the probability of default of a country as a function of other macroeconomics variables.
Mayko Camargo Cárdenas +1 more
core
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
We developed an ultrasound‐controlled biomimetic nanoplatform, mRNA/V@M NPs, to co‐deliver CD74 mRNA and V‐9302 for fibrotic TNBC therapy. CD74 mRNA reprograms myCAFs into antigen‐presenting apCAF cells through the CD74‐MHC II pathway, while V‐9302 induces ICD and activates MHC I‐CD8+ T cell immunity.
Chen Ai +9 more
wiley +1 more source
Supersanctions and Sovereign Debt Repayment [PDF]
Theoretical models have suggested that sanctions may be important for enforcing sovereign debt contracts (Bulow and Rogoff, 1989a, 1989b). This paper examines the role of sanctions in promoting debt repayment during the classical gold standard period. We
Marc D. Weidenmier, Kris James Mitchener
core
The study establishes an immune‐cure (ICu) mouse model based on a TMEMed G422TN‐GBM system that faithfully recapitulates human TMEMed GBM. scRNA‐seq analysis reveals a Csmd3+ microglial subset with innate immune memory (IIM) potential that potently suppresses GBM growth, drives a TME cold‐to‐hot transition, and induces 100% ICu in long‐term survival ...
Hai‐Feng Jiang +12 more
wiley +1 more source

