Results 201 to 210 of about 659,210 (249)

Knowledge Graph for Methane Selective Conversion: Revisiting and Predicting Product Selectivity and Methane Conversion

open access: yesAdvanced Science, EarlyView.
With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu   +11 more
wiley   +1 more source

PD‐L1 on Tumor‐Derived Extracellular Vesicles Induces CD8+ T Cell Terminal Exhaustion and Mediates Anti‐PD‐1 Resistance in Head and Neck Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
Immunotherapy fails in head and neck squamous cell carcinoma (HNSCC) due to terminally exhausted T (Texterm) cells. Tumor‐derived PD‐L1+ extracellular vesicles promote CD8‐Texterm cells differentiation by upregulating BATF. Stromal Texterm density serves as a potent biomarker for predicting immunotherapy resistance, highlighting a novel EV‐mediated ...
Ruihua Fang   +15 more
wiley   +1 more source

Gabpα‐Pparγ Complex Determines Glycolytic Capacity and Lactic Acid Homeostasis in Brown Fat

open access: yesAdvanced Science, EarlyView.
This study identifies the Gabpα–Pparγ complex as a key transcriptional regulator that couples glycolysis to lactate‐driven thermogenesis in brown adipose tissue by directly activating Eno1 transcription. ‌Competitive disruption of this interaction impairs lactate metabolism and thermogenic capacity.
Zhihan Wang   +22 more
wiley   +1 more source

Tunneling‐Controlled Fusion of Short‐ and Long‐Term Memory in SiO2/HfO2‐Based Neuromorphic Device for Time‐Series Prediction

open access: yesAdvanced Science, EarlyView.
Based on trap‐assisted tunneling, the devices can fuse STM/LTM, where the low switching energy of 1 pJ and stable low‐power retention (0.2 % loss ratio and 3.05 × 10−11 W) is achieved. Training in a long short‐term memory network it allows to analysis time‐series data and then makes precise long‐term predictions with an error ratio of 4.465 ...
Chengdong Yang   +3 more
wiley   +1 more source

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