Results 61 to 70 of about 116,536 (277)

Cellular Snowballing: Cell Adhesion and Migration Drive the Self‐Assembly of Cell‐Microgel Biohybrid Spheroids

Advanced Science, EarlyView.
A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie, Sina Kheirabadi, Changhao Li, Aneesh Risbud, Aswathy Sebastian, Istvan Albert, Sulin Zhang, Amir Sheikhi   +7 more
wiley   +1 more source

Lifecycle-Based Swarm Optimization Method for Numerical Optimization

Discrete Dynamics in Nature and Society, 2014
Bioinspired optimization algorithms have been widely used to solve various scientific and engineering problems. Inspired by biological lifecycle, this paper presents a novel optimization algorithm called lifecycle-based swarm optimization (LSO ...
Hai Shen, Yunlong Zhu, Xiaodan Liang
doaj   +1 more source

A new accelerated conjugate gradient method for large-scale unconstrained optimization

Journal of Inequalities and Applications, 2019
In this paper, we present a new conjugate gradient method using an acceleration scheme for solving large-scale unconstrained optimization. The generated search direction satisfies both the sufficient descent condition and the Dai–Liao conjugacy condition
Yuting Chen, Mingyuan Cao, Yueting Yang
doaj   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

A Hybrid Monte Carlo Ant Colony Optimization Approach for Protein Structure Prediction in the HP Model

, 2013
The hydrophobic-polar (HP) model has been widely studied in the field of protein structure prediction (PSP) both for theoretical purposes and as a benchmark for new optimization strategies.
Citrolo, Andrea G., Mauri, Giancarlo
core   +2 more sources

Random Time‐Space Coding Metasurfaces for Spatial Control of the Temporal Statistics of Electromagnetic Fields

Advanced Science, EarlyView.
A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li, Jiang Han Bao, Che Liu, Tie Jun Cui   +3 more
wiley   +1 more source

Polyelectrolyte Design Principles for Electrophoretic Drug Delivery

Advanced Science, EarlyView.
Structure–property–function mapping of polyelectrolytes reveals how composition and nanoscale order control on‐demand electrophoretic drug transport. Charge density quantified under implant‐relevant conditions shows that encapsulation limits swelling, enabling high effective charge density.
Helena Saarela Unemo, Iwona Bernacka‐Wojcik, Lingkai Zhu, Marle E. J. Vleugels, Moa E. Hörberg, Caroline Lindholm, Magnus Berggren, Daniel T. Simon, Theresia Arbring Sjöström   +8 more
wiley   +1 more source

Improved New Two-Spectral Conjugate Gradient Iterative Technique for Large Scale Optimization

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Numerous strategies have been proposed in the field of unconstrained optimization to address various optimization challenges, particularly those associated with large-scale systems. Among the classical methods, Newton and Quasi-Newton approaches are well-
Radhwan Basem Thanoon, Ghada Moayid Al-Naemi   +1 more
doaj   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

A new algorithm for general multiobjective optimization [PDF]

Described is a new technique for converting a constrained optimization problem to an unconstrained one, and a new method for multiobjective optimization based on that technique. The technique transforms the objective functions into goal constraints.
Dovi, Augustine R., Sobieszczanski-Sobieski, Jaroslaw, Wrenn, Gregory A.   +2 more
core   +1 more source