Results 111 to 120 of about 269,150 (267)
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
This study investigates the causal associations between interleukin receptor-related factors and the development of endometriosis, as their etiology and pathophysiology remain largely unknown.
Si-Ji Lv +3 more
doaj +1 more source
Conventional unstable electron transport layers (ETLs) limit self‐powered organic sensors. This work resolves this by developing a n‐type self‐assembled monolayer (SAM), “3‐PAPh”. This SAM forms a chemically stable and structurally ordered interface that fundamentally suppresses defect formation.
Ohhyun Kwon +11 more
wiley +1 more source
Engineered microparticle topographies direct human mesenchymal stem cell osteogenesis without biochemical additives. This osteogenic commitment is driven by canonical Hedgehog signaling and followed by temporal IGF‐II engagement. Two‐photon polymerization demonstrates spatial control, enabling the engineering of topographical gradients that pattern ...
Fatmah I. Ghuloum +5 more
wiley +1 more source
Schematic diagram depicting the fabrication and application of thymosin β4 (Tβ4)‐loaded microneedle patches for wound treatment. The Tβ4 was loaded into chitosan (CS) and sucrose MNs under mild conditions (4°C, 65% relative humidity). The Tβ4 MN patch specifically binds to the downregulated immune regulators Vsig4 and IL22rα2, thereby accelerating ...
Shilong He +4 more
wiley +1 more source
This study presents the first entirely isogenic heart‐on‐chip, unifying cardiomyocytes, fibroblasts, and endothelial cells from a single iPSC source. The platform reveals a critical biological insight: the endothelium actively shields cardiac tissue from drug‐induced toxicity, challenging the predictive accuracy of conventional, avascular models for ...
Karine Tadevosyan +12 more
wiley +1 more source
Zinc‐containing bioactive glass (ZnBG) promotes diabetic wound healing by regulating macrophage extracellular traps (METs). Specifically, ZnBG reduces oxidative stress and inhibits the PAD4 and NLRP3/caspase‐1/GSDMD signaling pathways, thereby suppressing MET formation.
RuiYang Sun +11 more
wiley +1 more source
Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang +4 more
wiley +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
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

