A multigrid method is applied to accelerate the numerical solution of a nonlinear coupled system of partial differential equations modeling avascular tumor growth. The model describes the interaction between tumor cell density, extracellular matrix, matrix-degrading enzymes, and their inhibitors, incorporating diffusio...
Jesika Magagnin, Márcio Augusto Villela Pinto, Neyva Maria Lopes Romeiro et al.· International Journal of Bio...· 0 citations
Enterprise artificial intelligence (AI) adoption is increasingly framed as a value-realisation problem rather than a simple question of whether users are willing to try new technologies. This study examines perceived value and adoption intention for enterprise AI/cloud solutions among technology-oriented respondents in...
Taseen Karima, Kazi Abdul Mannan· Preprints.org· 0 citations
To establish a quantitative link between grout propagation and ground-surface heave in grouting-based settlement remediation, this study proposes a semi-analytical framework based on energy balance and volume conservation. The equivalent diffusion radius is first solved from an energy balance that partitions effective...
Yankai Wu, Zaiyong Xiong, Yi Zhang et al.· Eng—Advances in Engineering· 0 citations
Abstract. Targeted flight rerouting for contrail avoidance relies on computational models to predict which avoidance actions would provide the most warming reduction. In the absence of empirical data for model validation, we propose using intercomparison to evaluate whether the lifetime total extinction of contrails (a...
Caleb Akhtar Martínez, Annemarie Lottermoser, Simon Unterstraßer et al.· 0 citations
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This study investigates the adsorption of the textile dye Direct Blue BR 200 from aqueous solutions onto waste chicken eggshells, evaluated as a low-cost biosorbent, and the commercial activated carbon Sorbotech LGCO 100, used as a reference sorbent. Adsorption equilibrium was determined experimentally and interpreted...
The primary objective of this research is to develop and validate robust computational frameworks capable of decoding complex cognitive processes—specifically visual perception and mental imagery—directly from non-invasive electroencephalography (EEG) signals. Translating raw, high-dimensional neural activity into cohe...
Emilia E. Ramirez Saverio· Open Science Framework· 0 citations
This study develops an analytical inverse framework for estimating the effective opening area of a single leak at a known location in a horizontal gas pipeline. One-dimensional isothermal flow is approximated by a diffusion-type pressure equation with linearised friction and independently decaying boundary pressures. A...
Ibrahim M. Hasanov, Elkhan Karimov, Ilgar G. Aliyev· Preprints.org· 0 citations
Abstract Although biological membranes exhibit complex and dynamic organization, the mechanistic role of molecular crowding in governing lateral membrane heterogeneity remains poorly characterized experimentally. Here, we provide direct experimental visualization showing that crowding‐induced condensation of membrane‐a...
Ru-Hsuan Bai, Hsin-Yi Tien, Chu-Chun Cheng et al.· Protein Science· 0 citations
Characterizing how particles diffuse is key to understanding biology across scales, yet extracting the underlying physical properties typically requires specialized tools rarely accessible to biology labs. Here we introduce AnDi-J, a Fiji plugin combining classical estimators with state-of-the-art machine learning for...
Gorka Muñoz-Gil· bioRxiv (Cold Spring Harbor...· 0 citations
This paper proposes a two-dimensional Angstrom two-point inversion method for measuring the in-plane dynamic thermal diffusivity of flat-plate devices such as vapor chambers under periodic thermal excitation. The method overcomes the limitations of steady-state thermal resistance tests in characterizing dynamic diffusi...
Longsheng Lu, Zhanbo Liang, Shu Yang et al.· Applied Thermal Engineering· 0 citations
We study the structural, thermophysical, and dynamical properties of molten MgCl2 over a wide temperature range using Ab Initio Molecular Dynamics (AIMD) and molecular dynamics simulations based on machine-learning interaction potentials (MLIPs). MLIPs can achieve near-AIMD accuracy at a fraction of the computational c...
Roberto Llovera, María Andrea Barral, Verónica Vildosola et al.· The Journal of Chemical Phys...· 0 citations
ABSTRACT High‐rate electrolysis is commonly assessed using current density, single‐pass conversion and Faradaic efficiency, but these global metrics do not indicate whether the local reaction environment required for selective multicarbon formation is preserved during scale‐up. Using an experimentally validated, flow‐d...
Abdullah A. Alyahya, Mayra S. Tovar-Oliva, Blessings G. Malimusi et al.· Advanced Science· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
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.
