Abstract Peptide self-assembly is a ubiquitous molecular phenomenon in which short amino acid sequences spontaneously organize into diverse nanostructures. These assemblies exhibit distinct morphologies closely linked to their biological functions and potential applications, making them attractive candidates for biomat...
Weizhong Sun, Yuning Ma, Xiumin Shi et al.· Journal of Chemical Informat...· 0 citations
Virtual-screening cascades assembled from co-folding and learned-affinity models are now routine, and each stage is usually trusted on the strength of its own score. We measured, stage by stage, whether those scores carry the information a practitioner would attribute to them, using the Keap1–Nrf2 protein–protein inter...
Dry-cathode operation is considered an ideal operating mode for AEMWE. However, water management is challenging under such conditions. Previous numerical studies have primarily focused on both-fed configurations, while comprehensive multiphysics investigations of water transport under dry-cathode operation are limited....
Guifeng Zhou, Haomiao Cao, Hang Wang et al.· International Journal of Hea...· 0 citations
Background Using multimodal MRI, we developed a predictive model for identifying glioma recurrence and treatment response. Methods Clinical data were retrospectively collected on 274 patients with gliomas following surgery. All patients underwent the MRI scan, including Contrast-enhanced T1 Weighted Imaging (CE-T1WI),...
Qi Wang, Zhen-Guo Yuan, Yan-Zhao Diao et al.· Frontiers in Oncology· 0 citations
We investigate whether industry portfolios contain information that forecasts aggregate stock market returns. Earlier research reports evidence of their usefulness as predictors, yet later studies find weaker and unstable effects. Using updated U.S. data, we confirm that industry portfolios offer little forecasting p...
M. Ellington, Sam Pybis, Ya-Wen Zheng· International Journal of Fin...· 0 citations
This study numerically investigates unsteady natural convection and Soret–Dufour double-diffusion in a two-dimensional sinusoidally wavy porous cavity saturated with an Al2O3–Cu/Water hybrid nanofluid (φ = 0.02), using a Darcy–Brinkman formulation with temperature-dependent viscosity and Rosseland thermal radiation. Th...
Zaid Salah Al-Haydri, K. V. Osintsev, S. Aliukov et al.· Energies· 0 citations
Electrochemical permeation and thermal desorption spectroscopy (TDS) are widely used to characterize hydrogen transport and trapping in steels, but are commonly interpreted through separate modelling approaches. This work presents a unified one-dimensional kinetic framework for the coupled simulation of hydrogen permea...
P. D. Di Nunzio· Journal of Manufacturing and...· 0 citations
The author formulates practical recommendations for constructing an integrated management system capable of ensuring transparency of managerial decisions, reduction of cross-functional gaps, improved predictability of project outcomes, and sustainable competitive advantages of construction enterprises operating in cond...
H. Kryshtal, O. Serhiienko· Business Navigator· 0 citations
Despite the classical developments and subsequent studies of individual transport mechanisms, many recent explosion-limit simulations still apply homogeneous formulations. Many recent study on explosion limits of reactive mixtures focuses on the usage of homogeneous models that neglect spatial transport processes. Howe...
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.