Results 41 to 50 of about 19,658 (300)
Mathematical and Computational Applications, 2018 The motivation for this study is to introduce and motivate the use of nonstandard finite difference (NSFD) schemes, capable of solving one-compartment pharmacokinetic models.
Oluwaseun Egbelowo
doaj +1 more source
Annals of Gastroenterological Surgery, EarlyView.Preoperative CT based on lymph node size shows moderate accuracy for detecting nodal metastasis in colon cancer. In this meta‐analysis of 29 studies (5,634 patients), pooled sensitivity and specificity were 0.69 and 0.66. Size‐based CT alone has limited value for clinical decision‐making.
Yuji Takayama +4 more
wiley +1 more source
More exotic field theories in 3+1 dimensions
SciPost Physics, 2020 We continue the exploration of nonstandard continuum field theories related to fractons in 3+1 dimensions. Our theories exhibit exotic global and gauge symmetries, defects with restricted mobility, and interesting dualities.
Pranay Gorantla, Ho Tat Lam, Nathan Seiberg, Shu-Heng Shao
doaj +1 more source
Undefinability of truth and nonstandard models
Annals of Pure and Applied Logic, 2004 Let \(\mathbb N=(\omega,+,\times,
openaire +2 more sources
‐optimal experimental design for production models in nonstandard experiments
, 2020 Robust design is an effective Quality by Design method to reduce product variation by selecting levels of design factors. For a number of situations, a nonstandard design region with linearly limited resources is needed to conduct an experiment.
Akın Özdemir, Ozdemir, Akin
core +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Nonstandard conditionally specified models for nonignorable missing data [PDF]
, 2020 Data analyses typically rely upon assumptions about the missingness mechanisms that lead to observed versus missing data, assumptions that are typically unassessable.
Airoldi, Edoardo M +2 more
core +2 more sources
Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Stability of discrete-time delayed pathogen infection models with latently infected cells
AIP Advances, 2019 This paper studies the global stability of a class of discrete-time delayed pathogen infection models with both latently infected cells and actively infected cells.
A. M. Elaiw, M. A. Alshaikh
doaj +1 more source