Results 211 to 220 of about 116,081 (310)

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

open access: yesAdvanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu   +10 more
wiley   +1 more source

Laparoscopic Delivery of a MnO2‐P‐ICG Patch for Photodynamic Therapy and NK Cell‐Driven Immunotherapy in Hepatocellular Carcinoma

open access: yesAdvanced Science, EarlyView.
This study proposes a flexible MnO2‐P‐ICG nanofiber patch for laparoscopic treatment of liver tumors. The patch alleviates tumor hypoxia and induces photodynamic therapy (PDT) triggered immunogenic cell death, thereby activating the cGAS‐STING pathway and, in synergy with pachymaran, promoting NK cell–mediated innate immunity. This synergistic strategy
Jie Lin   +14 more
wiley   +1 more source

CO<sub>2</sub> subsurface mineral storage by its co-injection with recirculating water. [PDF]

open access: yesNature
Oelkers EH   +14 more
europepmc   +1 more source

Recent Advances in Sustainable Single‐Atom Catalysts from Biomass and Solid Waste: Design, Synthesis and Applications

open access: yesAdvanced Science, EarlyView.
Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He   +8 more
wiley   +1 more source

Productivity prediction, dynamic evaluation and reservoir heterogeneity analysis of HS 4 block carbonate gas reservoir. [PDF]

open access: yesSci Rep
Xu Q   +12 more
europepmc   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

open access: yesAdvanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue   +6 more
wiley   +1 more source

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