Results 191 to 200 of about 4,323,247 (286)

Magnetoelectric Nanoparticles Enable Modulation of Cortical Networks by Low‐Intensity Static Magnetic Fields In Vitro

Advanced Science, EarlyView.
Neuromodulation strategies are increasingly needed to stimulate, restore, or replace altered neuronal activity in disease. Cobalt ferrite‐barium titanate (CFO–BTO) magnetoelectric nanoparticles convert low‐intensity static magnetic fields into local electrical modulation of cortical networks.
Nathalia Cancino‐Fuentes, Alejandro Suarez‐Perez, Elric Zhang, Hao Ye, Marta Bonato, Joana Covelo, Vitaly Pustovalov, Anton Guimera‐Brunet, Xavi Illa, Valentin Gantenbein, Cagatay M. Oral, Marta Parazzini, Salvador Pané, Maria V. Sanchez‐Vives   +13 more
wiley   +1 more source

Impact of dephased entanglement, mixed input states and varying measurement orientations on the reliability of cryptographic keys generated via the quantum protocol E91. [PDF]

PLoS One
Hernández-Borda AF, Rojas-Sepúlveda MP, Ramírez-Gómez HY.   +2 more
europepmc   +1 more source

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

Advanced Science, EarlyView.
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang, Qiubo Chen, Shihai Lan, Liang Zhu, Shuaiyu Liu, Yan Xia, Yalu Zhang, Hanhui Yao, Yongman Liu, Shangquan Wu, Qingchuan Zhang   +10 more
wiley   +1 more source

Temperature Control of Nonlinear Continuous Stirred Tank Reactors Using an Enhanced Nature-Inspired Optimizer and Fractional-Order Controller. [PDF]

Biomimetics (Basel)
Ekinci S, Izci D, Almeree A, Tümen V, Gider V, Stoyanov I, Jabari M.   +6 more
europepmc   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

Distributed Kalman Filter with Maximum Correlation Entropy Criterion and Consensus Weighted Term Fusion. [PDF]

Entropy (Basel)
Feng X, Gao Z, Liu T.
europepmc   +1 more source

Lipidomic Profile Reconstruction of Therapeutic Membrane Targets Using Physics‐Based Optimization with Limited Activity Data

Advanced Science, EarlyView.
Using a minimal set of experimentally labeled antimicrobial and non‐antimicrobial peptides, we reconstruct the effective lipid composition of a pathogenic membrane ‐demonstrated at the example of bacterial membranes‐ through a physics‐based evolutionary molecular dynamics (Evo‐MD) approach. Optimization based on peptide insertion reveals broad‐spectrum
Maximilian Krebs, Herre Jelger Risselada
wiley   +1 more source

An error measurement method for electricity meters based on dynamic test signal modeling with random measurements. [PDF]

Sci Rep
Qi J, Liu Z, Zhong Q, Tao Y.
europepmc   +1 more source

Toward Personalized Theranostics: A Modular PET Platform for Antibody‐Based Imaging and Therapy

Advanced Science, EarlyView.
This modular, site‐specific antibody platform enables customizable conjugates for PET imaging and therapy. Interchangeable payloads – including radiometals, cytotoxics, and fluorophores – support adaptable, multimodal applications with limited off‐target effects. In vivo, the DFO/DOTAGA bischelate immunoconjugate provided clear tumor delineation in PET/
Delphine Vivier, Megane Grah Kple, Julen Ariztia, Marion Leroux, Mathieu Moreau, Michael Claron, Maxime Cheveau, Adam Laouafa, Agnieszka Kownacka, Camille Petitot, John Simonet, Alexandre M. M. Dias, Sophie Poty, Charles Truillet, Bertrand Collin, Alexandra Oudot, Franck Denat   +16 more
wiley   +1 more source

A novel reflective intelligence optimizer with machine learning (RIO-ML) for parameter estimation of photovoltaic models. [PDF]

Sci Rep
Bayoumi A, Elbana MM, Nasef AA, Ali ME.
europepmc   +1 more source