Results 131 to 140 of about 3,452,528 (293)

3D Bioprinted Glioblastoma Multiforme Models: How the Extracellular Matrix Glycosignature Influences Drug Response

open access: yesAdvanced Functional Materials, EarlyView.
Aberrant glycosylation in the glioblastoma tumor microenvironment drives therapeutic resistance. Here, a 3D bioprinted model was engineered by incorporating α‐NeuNAc‐(2→3)‐β‐D‐Gal‐ and chondroitin sulfate. Combined multiplex immunofluorescence and synchrotron‐based nanoCT analysis revealed that glycan‐matrix interactions dictate specific drug‐escape ...
Francesca Cadamuro   +25 more
wiley   +1 more source

Thermoresponsive Soft and Self‐Anchoring Cuff Electrode for Chronic Peripheral Interfaces

open access: yesAdvanced Functional Materials, EarlyView.
A novel thermoresponsive, soft and self‐anchoring (TSSA) cuff electrode utilizing shape memory polymers achieves autonomous, sutureless peripheral nerve fixation. Driven by thermally induced pre‐strain and tissue adhesion, the device self‐closes and softens at body temperature, successfully minimizing mechanical mismatch. This adaptive platform ensures
Seungjun Lee   +4 more
wiley   +1 more source

Multifunctional Neutrophil Nanovesicles Induce Remodeling of Tumor Immune Microenvironment and Synergistic Multimodal Tumor Therapy

open access: yesAdvanced Functional Materials, EarlyView.
Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang   +16 more
wiley   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

open access: yesAdvanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li   +7 more
wiley   +1 more source

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

open access: yesAdvanced 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   +12 more
wiley   +1 more source

Mechanical Programming of PEGDA‐β‐CD Polyrotaxane‐Based Hydrogels via Host–Guest Molecular Recognition

open access: yesAdvanced Functional Materials, EarlyView.
A mechanically programmable hydrogel for tissue engineering is developed by modulating the molecular threading density of poly(ethylene glycol) diacrylate‐β‐cyclodextrin (PEGDA‐β‐CD) polyrotaxane and combining it with β‐CD‐modified gelatin. The polyrotaxane‐guided transition from disordered pores to laminar microstructures enables precise tuning ...
Shiyi Chen   +10 more
wiley   +1 more source

A VHDL-AMS Based Time Domain Skin Depth Model for Edge Coupled Lossy Transmission Stripline

open access: yes, 2005
This contribution presents a time-domain model of the skin depth effect in a lossy transmission line. The model was developed and implemented in VHDL-AMS for a two wire edge coupled line but it is general and can be used for other types of lossy ...
Kazmierski, T, Burford, M
core   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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