Results 151 to 160 of about 109,523 (228)

Physics of Selective Targeting of Cancer Cells by Magnetoelectric Nanoparticles: Exploring the Role of Conductivity and Capacitance in Tumor‐Specific Attraction

Advanced Theory and Simulations, EarlyView.
Magnetoelectric nanoparticles exploit cancer cells' electrical vulnerabilities—altered membrane charge and higher capacitance—to achieve tumor‐specific targeting without bioreagents. MATLAB simulations reveal how electromagnetic forces create targeting specificity, while external magnetic fields enhance precision. This may enable wirelessly controlled,
Max Shotbolt, John Bryant, Ping Liang, Sakhrat Khizroev   +3 more
wiley   +1 more source

Complexity reduction by symmetry: Uncovering the minimal regulatory network for logical computation in bacteria. [PDF]

PLoS Comput Biol
Álvarez-García LA, Liebermeister W, Leifer I, Makse HA.   +3 more
europepmc   +1 more source

The (human) respiratory rate at rest. [PDF]

J Math Biol, 2022
Schramm W.
europepmc   +1 more source

Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy

Advanced Science, EarlyView.
Resting‐state fMRI captures intrinsic brain activity, yet the physical significance of latency structures remains unclear. In this study, the spatiotemporal properties of fMRI‐derived latency structures are examined by linking them to biophysical model‐based neural functions, intrinsic neural timescales, and functional gradients.
Hyoungshin Choi, Yeongjun Park, Jong‐eun Lee, Sunghun Kim, Bo‐yong Park, Hyunjin Park   +5 more
wiley   +1 more source

The historical nature of biological complexity and the ineffectiveness of the mathematical approach to it. [PDF]

Theory Biosci, 2022
Forestiero S.
europepmc   +1 more source

SCRIPT: Predicting Single‐Cell Long‐Range Cis‐Regulation Based on Pretrained Graph Attention Networks

Advanced Science, EarlyView.
SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang, Baole Wen, Yifeng Jiao, Yuchen Liu, Xin Guo, Yushuai Wu, Jiyang Li, Limei Han, Yinghui Xu, Xin Gao, Yuan Qi, Yuan Cheng, Ying He, Weidong Tian   +13 more
wiley   +1 more source

Continuous Physics‐Informed Learning Expedited Battery Mechanism Decoupling

Advanced Science, EarlyView.
A battery modeling framework combining dual neural networks with physical prior is presented to track internal mechanisms, decouple overpotential components, and early predict aging trajectories using only DC data, eliminating the need for additional measurements.
Shanling Ji, Jun Yuan, Bojing Zhang, Aleksei Sanin, Leon Merker, Zhisheng Zhang, Jianxiong Zhu, Helge Sören Stein   +7 more
wiley   +1 more source

Contribution of 1D topological states to the extraordinary thermoelectric properties of Bi₂Te₃. [PDF]

Proc Math Phys Eng Sci, 2020
Chudzinski P.
europepmc   +1 more source

An Automated Lab‐On‐A‐Chip Approach for Pollen Tube Growth Manipulation in a Controlled Chemical Environment

Advanced Science, EarlyView.
Here, a microfluidic‐based robotic lab‐on‐a‐chip (LoC) device is presented for automated, continuous‐flow investigation and manipulation of single pollen tube growth under precisely controlled chemical gradients. This closed‐loop system streamlines data collection and analysis while enhancing experimental precision compared to manual methods ...
Jiawei Zhu, Marta Belloli, João P. Vale, Vitaly Pustovalov, Peter Fischer, Hannes Vogler, Tiago S. Mayor, Salvador Pané, Semih Sevim, Ueli Grossniklaus, Bradley J. Nelson   +10 more
wiley   +1 more source

Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition

Advanced Science, EarlyView.
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang, Changhua Lai, Jinbiao Zhao, Junjun Wang   +3 more
wiley   +1 more source