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Computable Semantic Stability Theory

This document introduces the Computable Semantic Stability Theory (CSST), a formal model describing how artificial agents maintain semantic correctness when operating under finite processing capacity. The theory defines semantic density, agent semantic energy, field alignment, processability confidence, and a self-silencing condition.
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Profit-Efficient Elastic Allocation of Cloud Resources Using Two-Stage Adaptive Workload Prediction

Applied Sciences
Internet services are increasingly being deployed using cloud computing. However, the workload of an Internet service is not constant; therefore, the required cloud computing resources need to be allocated elastically to minimize the associated costs ...
Lei Li, Xue Gao
doaj   +1 more source

Calculation of the Relaxation Modulus in the Andrade Model by Using the Laplace Transform

Fractal and Fractional
In the framework of the theory of linear viscoelasticity, we derive an analytical expression of the relaxation modulus in the Andrade model Gαt for the case of rational parameter α=m/n∈(0,1) in terms of Mittag–Leffler functions from its Laplace transform
Juan Luis González-Santander, Giorgio Spada, Francesco Mainardi, Alexander Apelblat   +3 more
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Practical Access to Dynamic Programming on Tree Decompositions

Algorithms, 2019
Parameterized complexity theory has led to a wide range of algorithmic breakthroughs within the last few decades, but the practicability of these methods for real-world problems is still not well understood.
Max Bannach, Sebastian Berndt
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Biswas–Chatterjee–Sen Model Defined on Solomon Networks in (1 ≤ D ≤ 6)-Dimensional Lattices

Entropy
The discrete version of the Biswas–Chatterjee–Sen model, defined on D-dimensional hypercubic Solomon networks, with 1≤D≤6, has been studied by means of extensive Monte Carlo simulations.
Gessineide Sousa Oliveira, David Santana Alencar, Tayroni Alencar Alves, José Ferreira da Silva Neto, Gladstone Alencar Alves, Antônio Macedo-Filho, Ronan S. Ferreira, Francisco Welington Lima, João Antônio Plascak   +8 more
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From Complexity Theory to Computational Wisdom: Enhancing EEG–Neurotransmitter Models Through Sophimatics for Brain Data Analysis

Algorithms
The analysis of brain data through electroencephalography (EEG) has become essential in neuroscience, affective computing, and brain–computer interfaces. Recent work associates EEG features with artificial neurotransmitter models, simulating emotions and
Gerardo Iovane, Giovanni Iovane
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Dimension-Independent Approximations on Low-Dimensional Manifolds Using Transformers

Mathematics
Deep neural networks have been remarkably successful in high-dimensional learning and scientific computing, often succeeding where classical discretization methods fail due to the curse of dimensionality.
Ji Shi, Demetrio Labate
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Some fundamental algebraic tools for the semantics of computation Part 1: Comma Categories, Colimits, Signatures and Theories

Theoretical Computer Science, 1984
AbstractThis paper develops a number of fundamental tools from category theory and applies them to problems in computation. The tools include algebraic theories, colimits, comma categories and two-dimensional categories. The applications concern making program specifications understandable by expressing them as interconnections of smaller ‘mind sized ...
Joseph A. Goguen, Rod M. Burstall
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Surface-Dependent Isotopic Adsorption of CO on α-Al₂O₃: Role of Weak Interactions and Zero-Point Energy

Molecules
Carbon isotopes, particularly 13C, are critical for applications in food authentication, biomedical diagnostics, and metabolic research; however, their efficient separation remains challenging due to their low natural abundance.
Qun Yang, Xiyue Cheng, Qian Xu, Shuiquan Deng   +3 more
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Accurate Nonrelativistic Energy Calculations for Helium 1snp^1,3P (n = 2 to 27) States via Correlated B-Spline Basis Functions

Atoms
Rydberg atoms play a crucial role in testing atomic structure theory, quantum computing and simulation. Measurements of transition frequencies from the 21,3S states to Rydberg P1,3 states have reached a precision of several kHz, which poses significant ...
Jing Chi, Hao Fang, Yong-Hui Zhang, Xiao-Qiu Qi, Li-Yan Tang, Ting-Yun Shi   +5 more
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