Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Advancing predictive risk assessment of chemicals via integrating machine learning, computational modeling, and chemical/nano‐quantitative structure‐activity …
The escalating use of novel chemicals and nanomaterials (NMs) across diverse sectors
underscores the need for advanced risk assessment methods to safeguard human health …
underscores the need for advanced risk assessment methods to safeguard human health …
Sensitivity analysis methods in the biomedical sciences
Sensitivity analysis is an important part of a mathematical modeller's toolbox for model
analysis. In this review paper, we describe the most frequently used sensitivity techniques …
analysis. In this review paper, we describe the most frequently used sensitivity techniques …
Systems biology informed deep learning for inferring parameters and hidden dynamics
Mathematical models of biological reactions at the system-level lead to a set of ordinary
differential equations with many unknown parameters that need to be inferred using …
differential equations with many unknown parameters that need to be inferred using …
Weak SINDy for partial differential equations
Abstract Sparse Identification of Nonlinear Dynamics (SINDy) is a method of system
discovery that has been shown to successfully recover governing dynamical systems from …
discovery that has been shown to successfully recover governing dynamical systems from …
[كتاب][B] Uncertainty quantification: theory, implementation, and applications
RC Smith - 2024 - SIAM
Uncertainty quantification serves a central role for simulation-based analysis of physical,
engineering, and biological applications using mechanistic models. From a broad …
engineering, and biological applications using mechanistic models. From a broad …
Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to …
Critical care, like many healthcare areas, is under a dual assault from significantly
increasing demographic and economic pressures. Intensive care unit (ICU) patients are …
increasing demographic and economic pressures. Intensive care unit (ICU) patients are …
Modelling approaches for studying the microbiome
Advances in metagenome sequencing of the human microbiome have provided a plethora
of new insights and revealed a close association of this complex ecosystem with a range of …
of new insights and revealed a close association of this complex ecosystem with a range of …
Weak SINDy: Galerkin-based data-driven model selection
We present a novel weak formulation and discretization for discovering governing equations
from noisy measurement data. This method of learning differential equations from data fits …
from noisy measurement data. This method of learning differential equations from data fits …
Automated adaptive inference of phenomenological dynamical models
Dynamics of complex systems is often driven by large and intricate networks of microscopic
interactions, whose sheer size obfuscates understanding. With limited experimental data …
interactions, whose sheer size obfuscates understanding. With limited experimental data …
The virtual brain integrates computational modeling and multimodal neuroimaging
Brain function is thought to emerge from the interactions among neuronal populations. Apart
from traditional efforts to reproduce brain dynamics from the micro-to macroscopic scales …
from traditional efforts to reproduce brain dynamics from the micro-to macroscopic scales …