Results 141 to 150 of about 416,590 (283)
Multispectral Thermometry Method Based on Optimisation Ideas
Multispectral thermometry is based on the law of blackbody radiation and is widely used in engineering practice today. Temperature values can be inferred from radiation intensity and multiple sets of wavelengths.
Xuan Zhang +4 more
doaj +1 more source
The results showed that the reduction of plasma 24‐hydroxycholesterol (24‐OHC) was related to the cognitive decline in elderly surgical patients. Neuroinflammation induced by anesthesia and surgery significantly downregulated SREBP2 in hippocampal reactive astrocytes, resulting in reduced cholesterol synthesis.
He Huang +13 more
wiley +1 more source
Global Nitrogen Deposition Promotes Carbon Sink Formation in Terrestrial Ecosystems
Nitrogen deposition alleviates ecosystem N limitation and enhances carbon sinks. Using 829 observations, we show 36% of deposited N is retained globally (39.15 Tg N yr−1), with distinct NHx and NOy contributions. This retention drives a terrestrial C sink of 0.88 Pg C yr−1 (25.48%), highlighting the importance of pool‐specific C:N stoichiometry ...
Lei Li +6 more
wiley +1 more source
ABSTRACT The spin Hall effect is a well‐known phenomenon in spintronics that has found numerous applications in digital electronics (memory and logic), but relatively few in analog electronics. Practically the only analog application in widespread use is the spin Hall nano‐oscillator (SHNO) that delivers a high frequency alternating current or voltage ...
Raisa Fabiha +6 more
wiley +1 more source
H2S‐Releasing Aspirin Nanoparticles Alleviate Endometriosis and Associated Anxiety
Albumin nanoparticles loaded with an H2S‐releasing aspirin derivative (ACS14) hitchhiking neutrophils after intraperitoneal injection and preferentially accumulate in endometriosis lesions in mice. The treatment suppresses lesion growth by regulating PI3K/Akt and reduces inflammation by inhibiting NF‐κB.
Mengni Zhou +12 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Hydrogen incorporation in palladium is directly probed using in situ ambient‐pressure hard X‐ray photoelectron spectroscopy under realistic, application‐relevant conditions. Correlated structural, spectroscopic, and theoretical analysis reveals how hydrogen loading modifies structure, electronic structure, and metal‐hydrogen bonding, resolving long ...
Lars J. Bannenberg +8 more
wiley +1 more source
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li +12 more
wiley +1 more source
Digital literacy: digital maturity or digital bravery? [PDF]
Helen Jones +2 more
openaire +1 more source
The Faraday Scalpel: Electrochemical Nerve Lesioning Mechanisms Studied in Invertebrate Models
Direct‐current produces nerve lesioning through discrete electrochemical reactions. Using hypoxia‐sensitive locust nerves and hypoxia‐tolerant leech nerves, we map three injury pathways: cathodic oxygen reduction, cathodic alkalization, and anodic chloride oxidation. These findings establish electrochemical lesioning—the “Faraday Scalpel”—as a precise,
Petra Ondráčková +5 more
wiley +1 more source

