Results 221 to 230 of about 4,647,046 (244)

Stratospheric Aerosol From Above: Laser‐Ablation Mass Spectrometer Samples Polar Vortex Air for the First Time

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 20, 28 October 2026.
Abstract The JGR paper by Lawler et al. (2025, https://doi.org/10.1029/2025jd043530) marks a significant and historic first, the PALMS single‐particle chemical analysis sampling deep stratospheric Arctic vortex air for the first time. The analysis finds ∼90% of sulfate aerosol particles in the deepest stratosphere air (100–130 ppb N2O) are meteoric ...
G. W. Mann   +6 more
wiley   +1 more source

Rational Design of a Synthetic Galliphore for the Diagnostic Nuclear Imaging and Treatment of Bacterial Infections

open access: yesAngewandte Chemie, Volume 138, Issue 43, 19 October 2026.
KO‐NH2 is a synthetic metallophore that preferentially binds Ga3+ over Fe3+ and is recognized by bacterial transporters. Photocrosslinking identifies CirA and Fiu as key uptake proteins in E. coli. KO‐NH2 enables targeted imaging and treatment of E. coli soft tissue infections.
Phuong Nguyen Tran   +5 more
wiley   +2 more sources

Ultra‐Weak Photon Emission as a By‐Product of Mitochondrial Oxidative Metabolism: Mechanisms, Limits, and Implications

open access: yesNanophotonics, Volume 15, Issue 20, 27 October 2026.
Mitochondrial oxidative metabolism generates ROS. Downstream chemiexcitation triplet carbonyls, singlet oxygen; produces ultra‐weak photon emission (UPE). Energetic bounds restrict well‐coupled respiration to extremely weak, red/NIR‐biased emission. Stronger visible UPE indicates elevated oxidative flux, linking measured photon counts to redox state ...
Samuel Crowther   +2 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source
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Measurement of Natural Radioactivity in River Sediments of Thamirabarani, Tamilnadu, India Using Gamma Ray Spectroscopic Technique

International Journal of Environmental Analytical Chemistry, 2022
A Rajalakshmi   +1 more
exaly  

Natural Radioactivity in the Syrian Environment

Science of the Total Environment, 1995
I Othman
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Natural Radioactivity in Soil Samples of Yelagiri Hills, Tamil Nadu, India and the Associated Radiation Hazards

Radiation Physics and Chemistry, 2012
A Rajalakshmi   +2 more
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Natural Radioactivity in Groundwater – A Review

Isotopes in Environmental and Health Studies, 2011
Marek Duliński   +2 more
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A Study of the Natural Radioactivity and Radon Exhalation Rate in Some Cements Used in India and Its Radiological Significance

Journal of Radiation Research and Applied Sciences, 2016
Jaspal Singh, R M Tripathi
exaly  

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