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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: cs.AR
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The search results for "cs.AR" cover a range of topics, including a statistical physics approach to protein folding, which examines the stochastic process of polypeptides forming 3D structures. Other studies explore constraint solving in constraint logic programs, improvements in medium-range precipitation forecasting using a dual-branch transformer framework, and a tool for educational modeling of stellar atmospheres. Additionally, advancements in prostate cancer detection through time-dependent diffusion MRI and AI-enhanced radiological interpretation are highlighted.
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arxiv.org
Protein Folding: A Perspective From Statistical Physics

In this paper, we introduce an approach to the protein folding problem from the point of view of statistical physics. Protein folding is a stochastic process by which a polypeptide folds into its characteristic and functional 3D structure from random coil. The process involves an intricate interplay…

arxiv.org
Value Withdrawal Explanation in CSP

This work is devoted to constraint solving motivated by the debugging of constraint logic programs a la GNU-Prolog. The paper focuses only on the constraints. In this framework, constraint solving amounts to domain reduction. A computation is formalized by a chaotic iteration. The computed result is…

cs.SE cs.PL
arxiv.org
CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting

Accurate medium-range precipitation forecasting is crucial for hydrometeorological risk management and disaster mitigation, yet remains challenging for current numerical weather prediction (NWP) systems. Traditional ensemble systems such as the Global Ensemble Forecast System (GEFS) struggle to main…

physics.ao-ph cs.LG
arxiv.org
GrayStar: A Web application for pedagogical stellar atmosphere and spectral line modelling and visualisation II: Methods

GrayStar is a stellar atmospheric and spectral line modelling, post-processing, and visualisation code, suitable for classroom demonstrations and laboratory-style assignments, that has been developed in Java and deployed in JavaScript and HTML. The only software needed to compute models and post-pro…

astro-ph.SR physics.ed-ph
arxiv.org
Non-Invasive Detection of PROState Cancer with Novel Time-Dependent Diffusion MRI and AI-Enhanced Quantitative Radiological Interpretation: PROS-TD-AI

Prostate cancer (PCa) is the most frequently diagnosed malignancy in men and the eighth leading cause of cancer death worldwide. Multiparametric MRI (mpMRI) has become central to the diagnostic pathway for men at intermediate risk, improving de-tection of clinically significant PCa (csPCa) while red…

eess.IV cs.CV cs.LG