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arxiv.org πŸ“… 2010 πŸ“° arXiv πŸ“„ PDF
Protein Folding: A Perspective From Statistical Physics
πŸ‘€ Jinzhi Lei; Kerson Huang

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 between global geom…

cond-mat.stat-mech cond-mat.soft physics.bio-ph q-bio.BM
arxiv.org πŸ“… 2000 πŸ“° arXiv πŸ“„ PDF
Value Withdrawal Explanation in CSP
πŸ‘€ Gerard Ferrand; Willy Lesaint; Alexandre Tessier

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 described as a clos…

cs.SE cs.PL
arxiv.org πŸ“… 2025 πŸ“° arXiv πŸ“„ PDF
CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting
πŸ‘€ Tianyi Xiong; Haonan Chen

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 maintain high skill, esp…

physics.ao-ph cs.LG
arxiv.org πŸ“… 2014 πŸ“° arXiv πŸ“„ PDF
GrayStar: A Web application for pedagogical stellar atmosphere and spectral line modelling and visualisation II: Methods
πŸ‘€ C. Ian Short

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-processed observables, …

astro-ph.SR physics.ed-ph
arxiv.org πŸ“… 2025 πŸ“° arXiv πŸ“„ PDF
Non-Invasive Detection of PROState Cancer with Novel Time-Dependent Diffusion MRI and AI-Enhanced Quantitative Radiological Interpretation: PROS-TD-AI
πŸ‘€ Baltasar Ramos; Cristian Garrido; Paulette Narv'aez; Santiago Gelerstein Claro; Haotian Li; Rafael Salvador; Constanza V'asquez-Venegas; Iv'an Gallegos; Yi Zhang; V'ictor Casta~neda; Cristian Acevedo; Dan Wu; Gonzalo C'ardenas; Camilo G. Sotomayor

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 reducing unnecessary bi…

eess.IV cs.CV cs.LG
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