Results 61 to 70 of about 6,651,187 (298)

Exotic $U(1)$ symmetries, duality, and fractons in 3+1-dimensional quantum field theory

SciPost Physics, 2020
We extend our exploration of nonstandard continuum quantum field theories in 2+1 dimensions to 3+1 dimensions. These theories exhibit exotic global symmetries, a peculiar spectrum of charged states, unusual gauge symmetries, and surprising dualities ...
Nathan Seiberg, Shu-Heng Shao
doaj   +1 more source

Bypassing Heteronuclear MRI: Metal‐Free Organosilicon Nanotracers for Background‐Free Hotspot 1H Imaging on Clinical Hardware

Advanced Science, EarlyView.
Organosilicon micelles enable background‐free molecular magnetic resonance imaging (MRI) while remaining fully compatible with standard proton (1H) hardware. By exploiting a spectrally silent 1H window at ∼0 ppm, the silicone nanotracer allows hotspot detection by 1H chemical‐shift imaging (CSI) without metals or heteronuclei, enabling direct overlay ...
Martin Orsagh, Dominik Havlicek, Andrea Galisova, Ondrej Sedlacek, Daniel Jirak   +4 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

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, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Stability of discrete-time HIV dynamics models with three categories of infected CD4+ T-cells

Advances in Difference Equations, 2019
This paper studies the global stability of two discrete-time HIV infection models. The models integrate (i) latently infected cells, (ii) long-lived chronically infected cells and (iii) short-lived infected cells.
A. M. Elaiw, M. A. Alshaikh
doaj   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

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, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Matrix Nonstandard Numerical Schemes for Epidemic Models [PDF]

, 2010
This paper is concerned with the construction and developing of several nonstandard finite difference (NSFD) schemes in matrix form in order to obtain numerical solutions of epidemic models.
Villanueva Micó, Rafael Jacinto, González Parra, Gilberto Carlos, Arenas Tawil, Abraham José   +2 more
core  

‐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

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Continuous and Large‐Scale: ELEANOR, the Soft Architected Arm Inspired by the Elephant Trunk

Advanced Intelligent Systems, EarlyView.
A large‐scale, architected continuum robot inspired by the macroscopic properties of the African elephant trunk achieves adaptive elephant‐like movements and whole‐body grasping. The results demonstrate that designing from the natural system’s macroscopic properties, rather than prescribing behaviors, provides a powerful strategy for developing ...
Giovanna A. Naselli, Anderson B. Nardin, Seonggun Joe, Ryan Drinkwater, Enrico Donato, Diego Bianchi, Egidio Falotico, Michel C. Milinkovitch, Lucia Beccai   +8 more
wiley   +1 more source