Results 241 to 250 of about 754,669 (319)

Galinstan Liquid Metal/Polyurethane Composite as a Multifunctional Stretchable Electrode and Piezoresistive Strain Sensor With Minimal Drift

Advanced Materials Technologies, EarlyView.
Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak, Neeraj Kumar, Toby Hallam, Shayan Seyedin   +3 more
wiley   +1 more source

Artificial Intelligence in Tumor Evolution: Understanding Cancer Complexity Through Multi-Modal Data Integration in Precision Oncology. [PDF]

Cells
Espinosa-Sánchez A, Carnero A.
europepmc   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Career anxiety in the age of artificial intelligence: Survey data of university students in Bangladesh. [PDF]

Data Brief
Islam S, Piyas BRC, Tisha FJ, Nayem HK, Rahman S, Preenon BRC, Hossen S.   +6 more
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Global Research Trends and Thematic Evolution in Injectable Aesthetic Medicine: A 25-year Bibliometric Analysis (2000-2025). [PDF]

Plast Reconstr Surg Glob Open
Lu S, Wei Q, Zhuang J, Su X, Zhang Z, Liang Y, Hu J.   +6 more
europepmc   +1 more source

Buckling‐Driven Linearity in Flexible Capacitive Pressure Sensors Based on a Three‐Dimensional Dual‐Pore Polyurethane Structure

Advanced Materials Technologies, EarlyView.
A flexible pressure sensor utilizing a 3D dual‐pore polyurethane structure is developed to overcome the intrinsic trade‐off between sensitivity and linearity. By inducing sequential buckling through distinct pore sizes and shapes, the device achieves highly linear and sensitive responses across a wide pressure range.
Jae Yeong Jang, Jaemin Choi, Young Jung
wiley   +1 more source

Manufacturer and User Facility Device Experience (MAUDE)-Dash: An open-source, interactive dashboard for real-time post-market surveillance of medical devices. [PDF]

Surg Neurol Int
Porwal MH.
europepmc   +1 more source

Flexible Pressure Sensor With Co‐Optimized Sensitivity and Linearity Based on Gradient Toroidal Microstructures

Advanced Materials Technologies, EarlyView.
A flexible piezoresistive pressure sensor with gradient toroidal CNT/PDMS microstructures is reported. The hierarchical geometry enables sequential electrode contact, achieving a sensitivity of 256.20 kPa−1 and linear response (R2 = 0.99) over 0–1000 kPa.
Rongmei Wang, Ruolin Liu, Ming Lei, Yifan Liu, Fengming Hu, Bing Ji, Chao Peng, Jianyi Luo, Bingpu Zhou   +8 more
wiley   +1 more source

Biodegradable Wireless Soil Urea Sensor Using Metamaterial Perfect Absorber for Distributed Deployment in Precision Agriculture

Advanced Materials Technologies, EarlyView.
In this study, we propose a biodegradable wireless soil urea sensor for precision agriculture. The sensor's electromagnetic response varies depending on the urea concentration, allowing the measurement of relative soil urea concentrations by analyzing the time‐transient electromagnetic response.
Yu Tanaami, Ken Sakabe, Tetsuya Yarimizo, Yasutaka Murakami, Tetsuo Kan, Hiroaki Onoe   +5 more
wiley   +1 more source