Results 111 to 120 of about 850,977 (257)

Segmented Therapeutic Delivery via Acoustic Microbubble Relay

Advanced Intelligent Systems, EarlyView.
An acoustically driven, modular segmented delivery system is presented to overcome mechanical limitations of conventional microcatheters. Oscillating microbubbles generate directional streaming that enables continuous, targeted transport across open, angled segments.
Lei Wang, Yiyang Tang, Yiqiang Wu, Xin Zhang, Tianshi Lyu, Zhen Hua, Tian‐Yun Huang   +6 more
wiley   +1 more source

A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis

Advanced Intelligent Systems, EarlyView.
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen, Yiyu Gui, Guibo Luo, Yuchao Yang   +3 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jean‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Data-Driven System Matrix Manipulation Enabling Fast Functional Imaging in Tomography. [PDF]

IEEE Trans Med Imaging
Hu P, Tong X, Lin L, Wang LV.
europepmc   +1 more source

Grid Independence Study and a Finite Difference Collocation Approach for Magnetized CeO2‐Ti3C2/H2O Hybrid Nanofluid Flow Over an Inclined Spinning Disk With Newtonian Heating

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This work examines magnetohydrodynamic (CeO2, Ti3C2/H2O) hybrid nanofluid (HNF) flow on an inclined revolving disk with effects of Newtonian heating. HNF is obtained by suspending the nanoparticles (NPs) of CeO2 and Ti3C2 in water (H2O). The flow is affected by mixed convection, Joule heating, nonlinear thermally radiative and dissipative ...
Ebrahem A. Algehyne, Abdul Bariq, Mounirah Areshi, Fahad Maqbul Alamrani, Zehba Raizah, Izharul Haq, Anwar Saeed   +6 more
wiley   +1 more source

Energy-dissipative adaptive-step L1 discretisation for the Caputo time-fractional incompressible magnetohydrodynamic system. [PDF]

Sci Rep
Abidin MZ.
europepmc   +1 more source

Metabolic Flux Analysis Reveals Cell Line‐Specific Rewiring in CHO Cells Following TCA Cycle Intermediate Feeding for Bioprocess pH Control

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Chinese hamster ovary (CHO) cells are the leading host for recombinant therapeutic protein production in the biopharma industry. In this study, we investigated how feeding acidic forms of tricarboxylic acid (TCA) cycle intermediates—malic acid, succinic acid, and α‐ketoglutaric acid—affects cell culture performance and metabolism in two ...
Sarah A. Sacco, Kevin J. Ruiz‐Márquez, Rachel Moen, Irina Trenary, Xiaolin Zhang, Xiaowen Wang, Malik Padellan, Henry Lin, Jamey D. Young   +8 more
wiley   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source