Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Efficiency, accuracy and robustness of probability generating function based parameter inference method for stochastic biochemical reactions. [PDF]
Li S +5 more
europepmc +1 more source
High Tree Species Diversity Promotes Thermal Enhancement Response of Microbial Carbon Use Efficiency
ABSTRACT Predicting soil carbon dynamics under warming is constrained by limited understanding of microbial thermal adaptation, particularly whether microbial carbon use efficiency (CUE) can adapt to warming and how plant diversity modulates this response. Using soils from a natural tree species diversity gradient in a subtropical forest, we combined a
Pengpeng Duan +11 more
wiley +1 more source
Modeling of complex physical and biological problems using bi-univalent function calculus. [PDF]
Saleh ZM +3 more
europepmc +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Computational analysis of a spatiotemporal model of cancer-immune-chemotherapy dynamics with nonlinear diffusive interactions using spectral technique. [PDF]
Shi H +5 more
europepmc +1 more source
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui +3 more
wiley +1 more source
Convergence of the Immersed Interface Method in Linear Elasticity. [PDF]
Asghar S +3 more
europepmc +1 more source
By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song +5 more
wiley +1 more source
Accurate and efficient HiChIP interaction detection by modeling restriction enzyme cut site density as biological signal. [PDF]
Ding W +5 more
europepmc +1 more source

