Results 101 to 110 of about 59,414 (283)

MEDICAL CATALOGUES. [PDF]

The Lancet
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openaire   +2 more sources

Engineered Microvascular Model of the Blood–Brain–Tumor Barrier Reveals Endothelial Remodeling in Diffuse Midline Glioma

Advanced Healthcare Materials, EarlyView.
We developed a patient‐derived, functional microfluidic model of the diffuse midline glioma (DMG) blood–brain–tumor barrier (BBTB) comprised of endothelial cells, astrocytes, pericytes, and tumor cells. The system forms perfusable microvasculature, reveals the BBTB retains vascular integrity, identifies DMG‐specific transcriptomic changes distinct from
Kimberly R. Bennett, Yann S. Vanrobaeys, Tessy Teboh, Zakiya Smith, Anderson Scott, Cynthia Hajal, Paula T. Hammond, Joelle P. Straehla   +7 more
wiley   +1 more source

Silicone Breast Implants as a Model System for Understanding Polymer Permeation in Soft Materials In Vivo

Advanced Healthcare Materials, EarlyView.
Silicone breast implants are presented as a model system for understanding polymer permeation in vivo. Rather than representing material failure, “gel bleed” emerges from solution–diffusion transport‐mediated. By integrating polymer architecture, physicochemical transport, and biointerfacial processes, this review provides a unified framework that ...
D. Bouyer, H. Mutlu, C. Charmette, E. Randrianaridera, Z. Adaidi, R. Hedna, L. Pieuchot, I. Pluvy, K. Anselme, N. Couturier, J. P. Mericq, A. Ponche, I. Brigaud   +12 more
wiley   +1 more source

PLL‐g‐HPA Hydrogel Microneedles Loaded With Rhoifolin Target Macrophages to Alleviate Fibroblast Senescence for Diabetic Wound Healing

Advanced Healthcare Materials, EarlyView.
Diabetic wound healing is hindered by a pathological crosstalk wherein elevated IL‐11 induces M1 macrophage polarization, leading to IL‐1β/IL‐6 release and subsequent fibroblast senescence via RAS/p38MAPK/p53/E2F1 signaling. Here, we develop a Gel@M‐Rho microneedle patch that delivers rhoifolin‐loaded, macrophage membrane‐coated nanoparticles to target
Jiewen Liao, Lin Gan, Li Lu, Lizhi Ouyang, Yuan Xiong, Fawwaz Al‐Smadi, Guandong Dai, Mohammad‐Ali Shahbazi, Bobin Mi, Mengfei Liu, Guohui Liu   +10 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

AMATEUR CATALOGUING [PDF]

The Library, 1889
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openaire   +2 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

DETECTING APPROXIMATELY DUPLICATE BIBLIOGRAPHIC RECORDS WITH TEXT ALGORITHMS: EXPERIENCE OF CREATING A UNION CATALOGUE OF LIBRARIES AT THE WARSAW UNIVERSITY OF TECHNOLOGY

TASK Quarterly, 2003
The paper describes a fault-tolerant method of selecting duplicate bibliographic records in catalogues. The method is based on the use of text algorithms; decisions are suggested to librarians who make the final decision.
GRZEGORZ PŁOSZAJSKI
doaj  

CATALOGUING OF PERIODICALS [PDF]

The Library, 1891
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openaire   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source