Results 161 to 170 of about 307,862 (262)

Topography‐Regulated Screening Platform for Myoblast Contact Guidance

Advanced Materials Technologies, EarlyView.
This study develops a topography‐regulated screening platform (12 gradients in 96‐topography‐well plate) enabling analysis of skeletal muscle morphogenesis. The topography‐induced cell morphology changed, cell polarization, and myotube differentiation, establishing an evaluative framework for generating pathologically relevant myotube phenotypes to ...
Tianqi Feng, Torben A.B. van der Boon, Savannah Amy Haupt, Adam Jones, Yanjing Ji, Theo G. Van Kooten, Patrick van Rijn   +6 more
wiley   +1 more source

Does green technology transformation alleviate corporate financial constraints? Evidence from Chinese listed firms. [PDF]

Heliyon
Feng J, Wang Y, Xi W.
europepmc   +1 more source

Additive Manufacturing of Patient‐Specific Intracranial Aneurysm Cell Culture Models

Advanced Materials Technologies, EarlyView.
Patient‐specific intracranial aneurysm models were fabricated using chocolate moulding, 3D printed water‐soluble cores, and direct resin 3D printing. Moulding PDMS around sacrificial cores made of chocolate or 3D printed water‐soluble resin yielded accurate, expandable, and endothelializable models that outperformed resin‐based approaches.
Chloe M. de Nys, Jaimee‐Lee Wood, James I. Novak, Danilo Carluccio, Craig D. Winter, Ashley R. Murphy, Mark C. Allenby   +6 more
wiley   +1 more source

Decoupling the Impact of Deep‐Trap and Band‐Tail States on PbS Quantum Dot Photodetectors via Alkylamine Engineering

Advanced Materials Technologies, EarlyView.
Band‐tail and deep trap states are effectively disentangled through the use of selective alkylamine additives. PA‐driven 2D ordering narrows band tails, while HA enhances halide passivation and Pb coordination to suppress deep traps. A comparative study of their CQD short‐wave infrared (SWIR) photodetectors further reveals whether band‐tail states or ...
Huaying Zhong, Fan Fang, Jasper Guido Ebel, Qian Chen, Lixin Li, Kaiyu Luo, Yihan Song, Andong Zhong, Haibo Zhu, Xiao Wang, Kaijie Ling, Yong Xia, Haodong Tang, Wei Chen, Peter Müller‐Buschbaum   +14 more
wiley   +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

Testing and Simulation of Multilayer Polyvinylidene Fluoride‐Based Piezoelectric Energy Harvester Devices

Advanced Materials Technologies, EarlyView.
The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin, Silvia Monchetti, Paolo Emilio Puddu, Luciano Teresi, Antonio DeSimone, Roberto Brighenti   +5 more
wiley   +1 more source

Chip‐Integrated Metasurface‐GaAsSb Nanowire Array Photodetectors for Single‐Pixel Polarimetric Imaging

Advanced Optical Materials, EarlyView.
A 2×2 multiplexed GaAsSb nanowire photodetector array integrated with L‐shaped metasurfaces is developed for miniaturized infrared polarimetry. Leveraging non‐radiating anapole states that facilitate near‐field enhancement, the device demonstrates strong polarization selectivity at 835 nm.
Longsibo Huang, Ziyuan Li, Yitao Yang, Yang Yu, Lei Xu, Li Li, Songqin Zhang, Han Wang, Wenwu Pan, Chaohao Chen, Weiqi Jin, Wen Lei, Lorenzo Faraone, Chennupati Jagadish, Lan Fu   +14 more
wiley   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Elimination of Necking and Aspect Ratio Dependence in Uniaxial Actuators by Continuous Fiber Reinforcement

Advanced Robotics Research, EarlyView.
A novel carbon fiber reinforcement for dielectric elastomer actuators enhances actuation force while decoupling electromechanical performance from the actuator's aspect ratio. Unlike conventional fiber reinforcements, it enables a uniform planar stretch state along the entire actuator.
Markus Koenigsdorff, Stefania Konstantinidi, Anett Endesfelder, Petr Osipov, Johannes Mersch, E.‐F. Markus Vorrath, Martina Zimmermann, Yves Perriard, Gerald Gerlach   +8 more
wiley   +1 more source

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +4 more
wiley   +1 more source