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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: cs.DL
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The search results for "cs.DL" (Computer Science - Digital Libraries) highlight diverse research topics. They include an approach to protein folding through statistical physics, focusing on the stochastic nature of polypeptide structures, a constraint-solving method for debugging constraint logic programs using domain reduction, a novel dual-branch transformer framework for improving medium-range precipitation forecasting, and GrayStar, a web application designed for educational purposes in modeling stellar atmospheres and spectral lines. Each paper presents advancements in their respective fields, from biological processes to atmospheric modeling and educational tools.
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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