Results 161 to 170 of about 6,596,021 (288)

Functional Differentiation of Type II and Type I Collagen Articular Models in Synovial Fluid Film Formation and Recombinant Equine Lubricin Retention

Advanced Functional Materials, EarlyView.
Collagen II coatings support the formation of synovial fluid nanofilms, while collagen I coatings do not. Both bind recombinant equine lubricin similarly. These findings may help explain articular cartilage surface joint dysfunction, inform biomaterial design for synovial joint repair, and expand on lubricin‐based osteoarthritis therapies.
Diego R. Jaramillo Pinto, Nicolas L. Mendoza, Syeda Tajin Ahmed, Yidan Wen, Lenka Vitkova, Spencer M. Witt, Kaleb A. Cutter, Ummay Honey, Matthew J. Paszek, Heidi L. Reesink, Lawrence J. Bonassar, Kevin De France, Roberto C. Andresen Eguiluz   +12 more
wiley   +1 more source

EDNRA Forms a Positive Feedback Loop with the Hippo/YAP Axis to Drive Triple-Negative Breast Cancer Progression. [PDF]

Adv Sci (Weinh)
Hong Z, Li B, Xu J, Lin R, Pan J, Fang C, Zhang B, Lau LY, Aldridge RJ, Whitmore EA, Chen Y.   +10 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Aberrant insula activity to negative and reduced learning from positive feedback underlie maladaptive self-beliefs in depression. [PDF]

Transl Psychiatry
Czekalla N, Schröder A, Mayer AV, Stierand J, Stolz DS, Kube T, Korn CW, Wilhelm I, Klein JP, Paulus FM, Krach S, Müller-Pinzler L.   +11 more
europepmc   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

H4K5 lactylation exacerbates acute myocarditis by driving a positive feedback loop between inflammation and metabolic dysfunction. [PDF]

Front Immunol
Zhao Y, Cai Y, Shen S, Wen Y, Li T, Kang L, Xu B, Sun X.   +7 more
europepmc   +1 more source

Multistage, Self‐Sensing Artificial Muscles With Coordination From Liquid Crystal Elastomer‐Graphene Composite Fibers

Advanced Functional Materials, EarlyView.
Inspired by skeletal muscles’ precision and endurance, CoilLCE integrates a self‐sensing liquid crystal elastomer/graphene artificial muscle with an embedded Joule‐heating copper coil, enabling closed‐loop multistage actuation with programmable intermediate states (strain accuracy of 2%), and antagonistic coordination (32% total strain). These features
Ziyun Zhang, Xuelin Wu, Yinding Chi, Qingya Huang, Yaoye Hong, Antonio Proctor Martinez, Jingxian Wu, Bingzhi He, Cynthia Sung, Shu Yang   +9 more
wiley   +1 more source

Nonlinear Output Feedback Control: An Analysis of Performance and Robustness

, 2004
By considering a non-singular performance cost functional, observer backstepping designs and adaptive observer backstepping designs are compared to high-gain observer designs for an output feedback system and a parametric output feedback system.
Xie, Chengkang
core  

A FoxM1/Smad4 positive feedback loop promotes pancreatic cancer progression. [PDF]

Cell Death Dis
Ruan B, Wang B, Zhang X, Liu F, Wan Z, Chen Y, Wu J, Luo C, Lu W, Lu Y, Zheng S.   +10 more
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source