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2,278 papers
A stochastic reconstruction method and the Volume of Fluid (VOF) model are combined to investigate non-isothermal liquid water transport in a Toray-060 gas diffusion layer (GDL). The equilibrium water-air surface tension is prescribed as a function of temperature, and conjugate heat transfer is solved in the fluid and...
OBJECTIVE Particularly for patients with bone-dominant illness, targeted radionuclide treatments are becoming a viable treatment option for metastatic prostate cancer (PCa). Precision treatment selection and improved therapeutic outcomes may result from early detection of patients who are at high risk of developing bon...
From being a passive backdrop, the tumour microenvironment (TME) is now recognised as a core 12 driver of cancer initiation, progression, metastasis, immune escape, and treatment response. As such, 13 there is a major shift from cancer-centric to TME-centric research, positioning TME as a hub for 14 therapeutic targets...
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Abstract Infrared molecular fingerprinting of blood offers a scalable, minimally invasive window into human physiology, but limited follow-up, imbalanced cohorts, and restricted access to diverse phenotypes constrain systematic studies. Here, we introduce a conditional deep generative framework for synthesizing blood-b...
The recharge oscillator (RO) captures the core ENSO feedback loop in two physically transparent equations but collapses the basin into lumped variables, whereas coupled models of intermediate and higher complexity resolve spatial structure at the cost of less direct operator-level attribution. Here we recast the RO a...
It is shown that transformer-based models with the proposed control-image regularisation achieve higher segmentation performance than U-Net-based approaches on clinically realistic data, while substantially reducing false positives in lesion-negative images.
Reducing the raw-frame budget of structured illumination microscopy (SIM) lowers exposure burden but weakens orientation–phase diversity and increases sensitivity to noise and model mismatch. We present acquisition-aware physics-guided diffusion for SIM (APD-SIM), which combines a protocol-specific conditional diffusio...
Atomic force microscopy (AFM) offers nanoscale insights into material properties, yet its intrinsic speed-resolution trade-off severely restricts the observation of dynamic processes. Although deep learning-based super-resolution holds promise, existing models often fail on experimental data due to a "paradigm mismatch...
Coal, as the main energy source for building heating in northern cities of China, features large reserves, low cost, and high stability in heat supply. Low-temperature pyrolysis reactions are prone to occur within the coal pile; the coal after low-temperature pyrolysis is more prone to spontaneous combustion. From the...
Purpose Unlike previous studies that investigated these mechanisms individually, the present work establishes a unified analytical formulation that elucidates their mutual interaction and reveals new coupled wave characteristics arising from the simultaneous effects of thermal memory, nonlocality, variable thermal cond...
Subsurface fluid injection supports wastewater disposal, geothermal energy, and geological storage but can trigger damaging earthquakes. Predicting whether an injection-triggered rupture stops or spreads across multiple faults remains challenging. In the 2011 Prague, Oklahoma, sequence, the mechanism enabling rupture t...
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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