Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice
Advanced Healthcare Materials, EarlyView.A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec +5 more
wiley +1 more source
Probabilistic threshold analysis by pairwise stochastic approximation for decision-making under uncertainty. [PDF]
Sci Rep, 2021 Goda T, Yamada Y.
europepmc +1 more source
Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection
Advanced Materials, EarlyView.Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel +7 more
wiley +1 more source
Ain Shams Engineering JournalThis study introduces a novel family of generalized stochastic neural network (GSNN) operators with enhanced modeling and approximation capabilities.
Abeer Aljohani
doaj +1 more source
Model Personalization in Behavioral Interventions using Model-on-Demand Estimation and Discrete Simultaneous Perturbation Stochastic Approximation. [PDF]
Proc Am Control Conf, 2022 Kha RT, Rivera DE, Klasnja P, Hekler E.
europepmc +1 more source
On a Stochastic Approximation Method [PDF]
The Annals of Mathematical Statistics, 1954 Asymptotic properties are established for the Robbins-Monro [1] procedure of stochastically solving the equation $M(x) = \alpha$. Two disjoint cases are treated in detail. The first may be called the "bounded" case, in which the assumptions we make are similar to those in the second case of Robbins and Monro. The second may be called the "quasi-linear"
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Adaptive stochastic approximations [PDF]
SIMULATION, 1971 abstract (abridged): many of the present problems in automatic control economic systems and living organism can be converted to parameter optimization in stochastic systems. foremost among these problems are questions of the control of systems with incomplete information, learning problems, adaptive control, identification of objects, and the automatic
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Advanced Materials, EarlyView.Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine +5 more
wiley +1 more source
Statistical approximation of multicriteria problems of stochastic programming
Доповiдi Нацiональної академiї наук УкраїниThe article validates an approximation technique for solving multiobjective stochastic optimization problems. As a generalized model of a stochastic system to be optimized, a vector "input–random output" system is considered.
B.V. Norkin
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A stochastic approximation expectation maximization algorithm for estimating Ramsay-curve three-parameter normal ogive model with non-normal latent trait distributions. [PDF]
Front Psychol, 2022 Cui Y +5 more
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