Results 231 to 240 of about 1,489,144 (280)

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

Advanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani, Azam Zare, Fatemeh Soheili, S. M. Mahdi H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh, Amir Sanati‐Nezhad   +9 more
wiley   +1 more source

Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images. [PDF]

PLoS One
Mehrpouya Z, Khatibi T, Sedighipashaki A.   +2 more
europepmc   +1 more source

Adhesive Double‐Network Granular Organogel E‐Skin

Advanced Materials Technologies, EarlyView.
We introduce a double‐network granular organogel adhesive for electronic skin, overcoming adhesion and strength trade‐offs. It provides reversible, robust bonding and ionic conductivity, enabling wearable and soft robotic e‐skin. Thanks to the e‐skin adhesive, a soft robotic trunk can recognize touch, temperature, humidity, and acidity.
Antonia Georgopoulou, Benhui Dai, Kadence Shen Yu Chow, Josie Hughes, Esther Amstad   +4 more
wiley   +1 more source

A multi-task learning model for global soil moisture prediction based on adaptive weight allocation. [PDF]

Sci Rep
Li Y, Liu H, Lv T.
europepmc   +1 more source

Magnetic Textiles: A Review of Materials, Fabrication, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Magnetic textiles (M‐textiles) are emerging as a programmable materials platform that merges magnetic matter with hierarchical textile structures. This article consolidates magnetic material classes, textile architectures, and fabrication and magnetization strategies, revealing structure–property–function relationships that govern magneto‐mechanical ...
Li Ke, Moses Kumi, Xiaoming Tao, Junhong Pu   +3 more
wiley   +1 more source

Optimizing Multi-Task Learning with Evolutionary Relatedness Metrics for Enhanced QSAR-Based Natural Product Activity Prediction. [PDF]

ACS Omega
Ramadhan D, Watanabe R, Mizuguchi K.
europepmc   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Echocardiographic video-driven multi-task learning model for coronary artery disease diagnosis and severity grading. [PDF]

Front Bioeng Biotechnol
Guo Y, Cai YH, Xu T, Song XY, Guo HX, Dong M, Ni D, Li H, Wang F, Xue WF.   +9 more
europepmc   +1 more source

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

Automating multi-task learning on optical neural networks with weight sharing and physical rotation. [PDF]

Sci Rep
Zhou S, Li Y, Gao W, Yu C, Ding C.
europepmc   +1 more source