Results 221 to 230 of about 44,350 (289)

Mastication‐Induced Electrical Stimulation Activates Prg4+ Chondroprogenitors for Osteoarthritis Therapy

Advanced Science, EarlyView.
This study presents a ″trash‐to‐treasure″ strategy that converts harmful joint overloads into beneficial electrical cues. The biodegradable MagPie, by providing piezoelectrical stimulation and releasing Mg2+ during mastication, exerts synergistic pro‐regenerative and anti‐inflammatory effects on Prg4+ cells via the ECM‐mediated FAK‐PI3K‐Akt axis ...
Shi‐Yang Feng, Jing‐Rong Cheng, Yu Qin, Jie Lei, Chen‐Chen Gao, Hong‐Ying Fu, Li‐Ping Wu, Thanh D. Nguyen, Xu‐Liang Deng, Kai‐Yuan Fu, Yang Liu   +10 more
wiley   +1 more source

Recycled piezoelectric materials with competitive second-life functional properties

Tabeshfar M, Anandakrishnan SS, Bai Y.
europepmc   +1 more source

Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity

Advanced Science, EarlyView.
This work introduces a compact, low‐cost tabletop magnetic resonance elastography platform for high‐resolution viscoelastic mapping in soft‐tissue specimens. Using this method in human colorectal liver metastases, we demonstrate fully automated biomechanical profiling of treatment response and show that heterogeneity‐based metrics outperform ...
Weijie Zhao, Lisa‐Marie Skrip, Heiko Tzschätzsch, Tom Meyer, Hossein S. Aghamiry, Alexander Arnold, Lene Änne Böhne, Jakob Jordan, Oliver Boehm, Agnes K. Boehm, Steffen Görner, Jakob Schattenfroh, Yanglei Wu, Pedro Augusto Dantas de Moraes, Johann Pratschke, Jürgen Braun, Igor M. Sauer, Jing Guo, Ingolf Sack, Karl H. Hillebrandt   +19 more
wiley   +1 more source

Converse flexoelectricity yields large piezoresponse force microscopy signals in non-piezoelectric materials. [PDF]

Nat Commun, 2019
Abdollahi A, Domingo N, Arias I, Catalan G.   +3 more
europepmc   +1 more source

Integrated Opto–Biomechatronics For Single Muscle Fibre Structure‐Function Assessment: The MyoRobot 3.0

Advanced Science, EarlyView.
We present the MyoRobot 3.0, an advanced platform that combines high‐resolution imaging with automated mechanical testing to improve the accuracy of single muscle fibre analysis. The system tracks fibre diameter changes during stretch, preventing major stress miscalculations.
Michael Haug, Moritz Hellmann, Larysa Kovbasyuk, Maria Eleni Vazakidou, Milena Theis, Oliver Friedrich   +5 more
wiley   +1 more source

Vibration induced refrigeration and energy harvesting using piezoelectric materials: a finite element study. [PDF]

RSC Adv, 2019
Kumar A, Kumar R, Chandra Jain S, Vaish R.   +3 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Quantifying Magnetic Anisotropy of Ferroelectric Fe(II) Square‐Pyramidal Systems Using Torque Magnetometry

Advanced Science, EarlyView.
Five‐coordinate, square‐pyramidal Fe(II) complexes adopting polar, non‐centrosymmetric crystal structures exhibit exceptionally large easy‐axis magnetic anisotropy. Ligand‐driven distortions critically control the anisotropy, and the dielectric, Polarization vs Elecric field and piezo response studies confirm intrinsic polarization, positioning these ...
Vijaya Thangaraj, Gemma K. Gransbury, Deepanshu Chauhan, Dipanti Borah, Gopalan Rajaraman, Mauro Perfetti, Maheswaran Shanmugam   +6 more
wiley   +1 more source

RETRACTED: Enhancing pipa tuning stability with piezoelectric materials: An adaptive system for real-time performance adjustment.

PLoS One
Yawen K.
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source