Results 141 to 150 of about 6,349,849 (305)
Markov Chains and Kinetic Theory: A Possible Application to Socio-Economic Problems
A very important class of models widely used nowadays to describe and predict, at least in stochastic terms, the behavior of many-particle systems (where the word “particle” is not meant in the purely mechanical sense: particles can be cells of a living ...
Bruno Carbonaro, Marco Menale
doaj +1 more source
A bio‐inspired side‐chain branching strategy is developed to orchestrate a dual noncovalent conformational locking (NoCL) network, enabling the construction of perfectly planar NIR‐II phototheranostic aggregates. Such structural precision maximizes light‐harvesting efficiency and optimizes exciton dynamics, ensuring synchronized enhancements in NIR‐II ...
Cheng Lu +11 more
wiley +1 more source
On the Strong Approximation of Jump-Diffusion Processes [PDF]
In financial modelling, filtering and other areas the underlying dynamics are often specified via stochastic differential equations (SDEs) of jump-diffusion type.
Nicola Bruti-Liberati, Eckhard Platen
core
A Unifying Thermodynamic Model for Phase Separation and Aging of Biopolymers
Phase separation and aging of intrinsically disordered proteins are placed in a unifying framework. A thermodynamically consistent time‐dependent version of associating‐polymer theory shows how the processes are intricately coupled. Assuming aging to occur through interacting sites resulting from reversible conformational transitions, the model ...
Jasper J. Michels +2 more
wiley +1 more source
Hierarchical Physical‐Cyber Encryption via Metasurface‐Encoded Holographic Keys
ABSTRACT Physical‐layer encryption based on metasurfaces has emerged as a promising alternative to conventional algorithmic cryptography by embedding security into physical processes. However, most existing metasurface‐based encryption schemes operate within single‐stage or static frameworks, where correct physical illumination directly reveals the ...
Zhen Liu +8 more
wiley +1 more source
We developed UCtracker, a urine DNA methylation–based deep learning model, for noninvasive diagnosis and postoperative surveillance of urothelial carcinoma. UCtracker demonstrates high diagnostic accuracy, robustness at ultralow sequencing depth, early recurrence detection, and dynamic risk‐stratified monitoring of molecular residual disease ...
Shengwei Xiong +19 more
wiley +1 more source
Non mean reverting affne processes for stochastic mortality [PDF]
In this paper we use doubly stochastic processes (or Cox processes) in order to model the random evolution of mortality of an individual. These processes have been widely used in the credit risk literature in modelling default arrival, and in this ...
Elisa Luciano, Elena Vigna
core
Pattern‐dependent etching is converted into a physical prior for intelligent reconstruction of high‐aspect‐ratio silicon structures. Combining YOLO‐Pose feature extraction with a topography network, the framework retrieves depth, sidewall angle, and scallop texture from minimal destructive observations, enabling accurate cross‐scale metrology and near ...
Shuyan He +4 more
wiley +1 more source
NbOx Mott Memristor‐Based Oscillatory P‐trit for Ternary Potts Machine
A ternary Potts machine utilizing NbOx‐based probabilistic trits (p‐trits) is demonstrated for efficient combinatorial optimization. By leveraging the electro‐thermal switching dynamics of NbOx memristors, this architecture generates three‐state stochastic fluctuations.
Hakseung Rhee +10 more
wiley +1 more source
A previously unrecognized IRE1‐XBP1s‐Slc6a4 signaling axis links endoplasmic reticulum stress to serotonin metabolism, autophagy, and inflammatory osteoclastogenesis. By promoting intracellular serotonin uptake and reducing endogenous 3‐methyladenine accumulation, this pathway accelerates inflammatory bone destruction and provides a promising ...
Pengchao Yang +14 more
wiley +1 more source

