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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.OT
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The search results for "stat.OT" cover a range of topics, including advancements in protein stability predictions using mass balance approximations and the role of multi-agent pathfinding with non-unit costs in computational scenarios. Additionally, they explore higher-order spacing in random matrices and propose a definition for statistical significance linking normal distribution probabilities and p-values. Each entry highlights the application of statistical theories to diverse fields such as structural bioinformatics, computational biology, and complex systems analysis.
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arxiv.org
Introduction to Protein Folding

While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims to give an introduction into Structural Bioinformatics, which…

q-bio.BM
arxiv.org
Mass Balance Approximation of Unfolding Improves Potential-Like Methods for Protein Stability Predictions

The prediction of protein stability changes following single-point mutations plays a pivotal role in computational biology, particularly in areas like drug discovery, enzyme reengineering, and genetic disease analysis. Although deep-learning strategies have pushed the field forward, their use in sta…

q-bio.QM cs.LG physics.bio-ph
arxiv.org
Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization

Multi-Agent Pathfinding (MAPF) plays a critical role in various domains. Traditional MAPF methods typically assume unit edge costs and single-timestep actions, which limit their applicability to real-world scenarios. MAPFR extends MAPF to handle non-unit costs with real-valued edge costs and continu…

cs.AI
arxiv.org
Higher-order spacings in the superposed spectra of random matrices with comparison to spacing ratios and application to complex systems

Higher-order spacing statistics in the $m$ superposed spectra of circular random matrices of the same class are studied numerically. We conjecture that for given $m$ (or order $k$) and $β$, the sequence of modified Dyson index $β'(k)$ (or $β'(m)$) obtained using the sum of absolute differences be…

physics.data-an nlin.CD quant-ph stat.OT
arxiv.org
On the Statistical Significance

A definition for the statistical significance by constructing a correlation between the normal distribution integral probability and the p-value observed in an experiment is proposed, which is suitable for both counting experiment and continuous test statistics.…

physics.data-an
arxiv.org
History of Lattice Field Theory from a Statistical Perspective

Researchers working in lattice field theory constitute an established community since the early 1990s, and around the same time the online open-access e-print repository arXiv was created. The fact that this field has a specific arXiv section, hep-lat, which is comprehensively used, provides a uniqu…

hep-lat physics.hist-ph physics.soc-ph
arxiv.org
Photons and static gravity

The influence of static gravitational field on frequency, wave-length and velocity of photons and on the energy levels of atoms and nuclei is considered in the most elementary way. The interconnection between these phenomena is stressed.…

hep-ph gr-qc physics.ed-ph
arxiv.org
Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs

In this paper, we propose, discuss, and validate an online Nonlinear Model Predictive Control (NMPC) method for multi-rotor aerial systems with arbitrarily positioned and oriented rotors which simultaneously addresses the local reference trajectory planning and tracking problems. This work brings in…

cs.RO eess.SY math.DS math.OC
arxiv.org
Testing a New Monte Carlo Strategy for Folding Model Proteins

We demonstrate that the recently proposed pruned-enriched Rosenbluth method PERM (P.~Grassberger, Phys.~Rev.~{\bf E 56} (1997) 3682) leads to very efficient algorithms for the folding of simple model proteins. We test it on several models for lattice heteropolymers, and compare to published Monte …

cond-mat.soft q-bio
arxiv.org
Protein Folding Kinetics: Time Scales, Pathways, and Energy Landscapes in Terms of Sequence Dependent Properties

The folding kinetics of a number of sequences for off-lattice continuum model of proteins is studied using Langevin simulations at two values of the friction coefficient. We show that there is a remarkable correlation between folding times, $τ_{F}$, and $σ= (T_{θ} - T_{F})/T_{θ} $, where $T_{θ}…

cond-mat.stat-mech q-bio