Results 111 to 120 of about 981,446 (269)

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

open access: yesAdvanced 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   +7 more
wiley   +1 more source

A Novel Drug‐Loaded Porous Parylene Electrode for Targeted Anti‐Inflammatory Therapy and Hearing Preservation in Cochlear Implantation

open access: yesAdvanced Healthcare Materials, EarlyView.
A porous parylene‐coated electrode loaded with dexamethasone was developed to reduce inflammation after cochlear implantation. In guinea pigs, the device provided sustained drug release, maintained biocompatibility, improved auditory brainstem response thresholds, and reduced inflammatory cell infiltration and TNF‐α expression.
Chi‐Chieh Chang   +11 more
wiley   +1 more source

TFC: A Series of Band Selection Methods for Hyperspectral Target Detection

open access: yesIEEE Access
The abundant spectral information provided by hyperspectral images (HSIs) greatly benefits target detection (TD), but it introduces a large amount of data redundancy, which greatly increases the complexity of data processing.
Qianghui Wang   +3 more
doaj   +1 more source

Optical Detection of Cellular Signals at Material Interfaces

open access: yesAdvanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren   +5 more
wiley   +1 more source

Smart Meter Error Estimation in Topological Low Voltage Energy System

open access: yesIEEE Access
Smart meter is a key component in the energy grid. In order to detect the abnormal smart meter in a topological low voltage energy system, the orthogonal matching pursuit and Bollinger Band followed by the recursive model are proposed in this paper.
Fangxing Liu, Hongtao Huang
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

open access: yesAdvanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son   +20 more
wiley   +1 more source

Efficiency and accuracy comparison of machine learning algorithms for predicting US energy consumption across sectors

open access: yesSouth African Journal of Chemical Engineering
This study uses machine learning algorithms to predict energy consumption across the United States's critical sectors (commercial, residential, transportation, and industrial).
Seyed Matin Malakouti   +2 more
doaj   +1 more source

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