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2,278 papers
Population concentration generates both economic benefits and environmental costs through agglomeration-related spatial externalities. This paper examines how population density shapes fine particulate matter (PM2.5) concentrations across U.S. states over the period 2000–2023, conceptualizing density as a structural dr...
The rapid diffusion of electric vehicles (EVs) is weakening the conventional fuel tax base, creating new challenges for transport-energy taxation. Although South Korea does not currently tax EV charging electricity, such taxation is becoming increasingly relevant as EV adoption expands. This study examines consumer pre...
This dataset accompanies the submitted manuscript ‘Expertise in Football Referees’ Card Decisions: A Bayesian Diffusion Model of Evidence Accumulation’. It contains de-identified trial-level records from the fixed endpoint of 80 referees (40 high-level: 19 national-level and 21 pre-national; 40 Level 3). The primary ca...
This dataset accompanies the submitted manuscript ‘Expertise in Football Referees’ Card Decisions: A Bayesian Diffusion Model of Evidence Accumulation’. It contains de-identified trial-level records from the fixed endpoint of 80 referees (40 high-level: 19 national-level and 21 pre-national; 40 Level 3). The primary ca...
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Memory-dependent evolution equations replace the time derivative of the state with a convolution against a memory kernel \( K(t) \), and appear throughout anomalous diffusion, viscoelasticity, and tumour-growth modelling.\( K \) is usually fixed a priori, most often to the power-law kernel of a Caputo fractional deriva...
The DLRC model effectively predicted and stratified breast cancer recurrence risk by integrating deep learning, radiomics, and clinicopathological features and achieved the best performance in the training and internal validation sets.
Abstract We present a novel approach to perform posterior sampling of the underlying stellar spectrum in high-resolution spectroscopic observations. Our method, postellar , coherently combines information from empirical observations and physics-based models, enabling more accurate spectral recovery while providing unce...
Abstract Active biological microswimmers typically combine persistent self-propulsion with cyclic motion generated by flagellar or ciliary beating. However, standard active Brownian motion (ABM) does not explicitly account for these intrinsic oscillations. This limitation is particularly relevant for sperm cells, whose...
ABSTRACT P‐type doped CdTe free surfaces, Schottky contacts, and even interfaces with isostructural p‐ZnTe frequently exhibit downward band bending and moderate to high recombination velocities. Fermi level pinning by donor‐like states can explain these band diagram features, as well as CdTe‐based solar cell characteri...
Abstract Crystal structure prediction (CSP), which aims to predict the 3D atomic arrangement of a crystal from its composition, is central to materials discovery and mechanistic understanding. Crystal symmetry plays a crucial role in CSP, but given the composition in a unit cell, existing methods either struggle with t...
Generating autologous tissue grafts of a clinically useful volume requires efficient and controlled expansion of cell populations harvested from patients. Hollow fibre bioreactors show promise as cell expansion devices, owing to their potential for scale-up. However, further research is required to establish how to spe...
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.
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.
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