diffusion models

Cold Bias in the Central North Atlantic: Characterization and Heat Budget Analysis from CMIP6 and HighResMIP Simulations

The Central North Atlantic (CNA) sea surface temperature cold bias is a well-documented feature in contemporary climate models, yet its underlying physical causes remain not fully elucidated. Here we systematically characterize the cold bias using historical simulations from the sixth phase of the Coupled Model Interco...

Computational Models of Intracellular Protein Mobility and Condensate Dynamics

To systematically elucidate the multiscale impacts of Min protein oscillations, we constructed a multiscale numerical framework composed of three particle-based modules: MinOscillation, MinDiffusion, and MinPhase. The three modules share unified numerical scales, thereby linking molecular oscillations, diffusion modula...

AI attitudes and organizational learning in distance education: interpreting an AI learning gap through structural equation modeling

Dynamical Localization as Quantum Thinning: A Thinness Ratio for Microwave Hydrogen and the Kicked Rotator

This paper asks a narrower question than whether a quantum system is chaotic. It asks whether quantum transport reaches a stated failure scale over a stated horizon. The setting is dynamical localization, where momentum or photon-number diffusion in a classically chaotic Floquet system stops after a break time because...

Dynamics of bicoid mRNA localisation and translation dictate morphogen gradient formation

Abstract The transcription factor Bicoid (Bcd) protein guides early Drosophila patterning and is the best-characterised morphogen. The source of the morphogen, bcd mRNA, is maternally deposited during oogenesis and localised to the anterior pole. When and where Bcd protein is produced and how this protein gradient is d...

Thermodynamics and Kinetics of Ammonia‐Based Reduction of Natural Hematite

Using hydrogen gas for iron ore reduction offers carbon‐neutral ironmaking, but scaling up faces safety and energy challenges. Ammonia is a safer carbon‐free hydrogen carrier with higher energy density and ease of liquefaction. This study investigates the characteristics of ammonia‐based direct reduction (AmDR) of natu...

(Short Paper13) Nano-Architect Function and Memory Mainte nance of Holometabolism in the In Vivo Analog Quantum Syn chronizer (Bio-QPU) Paradigm: Non-Destructive Inheritance Model of the Life Code via Cryptochrome Bio-QPU and Selec tive Decoherence

The “nano-architect function” in which holometabolous insects (pupae) rebuild complex morphologies without external instruction while undergoing dramatic tissue dissolution, and the phenomenon of inheriting larval memory into the adult stage, cannot be fully explained by conventional classical molecular diffusion or ge...

AsPredicted pre-registration: cueing mechanisms in Schmitz et al. (2024) Experiment 2

This is a registered secondary analysis of public data from Experiment 2 of Schmitz et al. (2024, PLOS ONE), in which 39 participants identified a peripheral target letter after a central cue. The cue was an arrow, a schematic face, or a colour, and was either neutral or 100% counter-predictive (arrows and faces) or in...

Where in the RT distribution do cues act? A distributional (ex-Gaussian) reanalysis of arrow, gaze and colour cueing in Schmitz et al. (2024), Experiments 1 and 2

Secondary analysis of two public cueing datasets (Schmitz et al., 2024). Experiment 1 uses non-predictive arrow and face cues. Experiment 2 uses 100% counter-predictive arrow, face and colour cues. The question is where in the RT distribution cues act: a shift of the whole distribution (the ex-Gaussian location mu), a...

Artificial Intelligence and the Future of Finance: An Empirical Study of Adoption, Benefits and Challenges

Abstract The rapid integration of artificial intelligence (AI) into the financial sector has fundamentally transformed the way financial institutions operate, manage risk, and deliver services to customers. Despite the growing adoption of AI technologies across banking, insurance, and investment management, there remai...

Registered Report: Does the valence-dominance model apply to deepfake faces? Validation and its impact on deepfake detection

Artificial Intelligence has given rise to increasingly more realistic fake contents such as deepfake faces, hardly distinguishable from real faces. However, evidence has shown that social evaluations of real faces are also able to impact the detection of deepfake faces. The present study aimed at applying for the first...

AI-Based Driver Drowsiness Detection Using Image Enhancement and Swin Transformer

This study introduces a smart system designed to detect driver drowsiness in real time, focusing mainly on checking whether a driver's eyes are closed for an unusually long period. While conventional AI image detection methods (like standard CNNs) often fail when faced with poor lighting, motion blur, noisy images, or...