Results 191 to 200 of about 1,041 (249)

Context‐Dependent Radioenhancement by Platinum Nanoparticles Under Conventional and Ultra‐High Dose‐Rate “FLASH” Radiotherapy

open access: yesSmall, EarlyView.
Overview of the experimental workflow and main findings of the study investigating Pt‐NPs‐mediated radioenhancement under conventional 134 dose‐rate (CONV) and ultrahigh dose‐rate (UHDR) 9 MeV electron irradiation. Pt‐NP distribution and uptake were characterized in 4T1 spheroids and syngeneic tumor models.
Cathyanne Schott   +14 more
wiley   +1 more source

Single‐Vesicle Functional Nanophenotyping Reveals Heterogeneous PD‐L1 Accessibility in Triple‐Negative Breast Cancer

open access: yesSmall Methods, EarlyView.
Graphical Abstract. High‐speed atomic force microscopy enables real‐time, label‐free visualization of antibody interactions with individual extracellular vesicles. By quantifying binding frequency and dwell time, this approach reveals functional PD‐L1 accessibility that cannot be inferred from protein abundance alone, uncovering nanoscale heterogeneity
Reon Imakawa   +10 more
wiley   +1 more source

Toward Enhanced Safety Management in Wave Energy Power Plant Construction Projects: FMEA and HAZOP Combination

open access: yesSafety Science and Technology, EarlyView.
Consolidated FMEA–HAZOP safety management framework for WEC construction projects. ABSTRACT This study presents an advanced safety management framework for “Wave Energy Converter” (WEC) projects, addressing the inherent uncertainty, technological complexity, and environmental exposure of offshore renewable energy systems.
Panagiotis K. Marhavilas   +4 more
wiley   +1 more source

AI‐Powered GPR Characterization of Peatland Underground Cavity Induced by Smoldering Wildfire: A Laboratory Proof‐of‐Concept

open access: yesSafety Science and Technology, EarlyView.
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang   +5 more
wiley   +1 more source

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