Results 121 to 130 of about 4,718,784 (295)

The C‐terminal truncated splicing variant of NK1R negatively modulates substance P‐stimulated NK1R signaling

open access: yesFEBS Open Bio, EarlyView.
The neurokinin 1 receptor exists as full‐length (NK1L) and C‐terminally truncated (NK1S) splice variants. We show that NK1S heterodimerizes with NK1L, impairing Gαq coupling and Ca2+ mobilization while enhancing β‐arrestin1 recruitment. NK1S suppresses substance P‐driven gene expression and cell migration, revealing NK1S as an endogenous biased ...
Lan Phuong Nguyen   +8 more
wiley   +1 more source

Attention-Enhanced Autoencoder with Marginal-Variance-Regularized Feature Reconstruction for Imbalanced Insurance Policy-Ownership Classification

open access: yesEntropy
Identifying the small group of customers who hold a given policy in severely imbalanced tabular data is a recurring screening problem in insurance analytics.
Jiaming Tian   +3 more
doaj   +1 more source

TRPML1 agonist ML‐SA5 attenuates pulmonary fibroblast activation by suppressing mTOR and restoring autophagic flux

open access: yesFEBS Open Bio, EarlyView.
TGF‐β1 stimulation downregulates lysosomal channel TRPML1 in pulmonary fibroblasts. The TRPML1 agonist ML‐SA5 suppressed fibroblast‐to‐myofibroblast activation and collagen production. Mechanistically, ML‐SA5 inhibited mTOR phosphorylation, restored autophagic flux, and its effects were enhanced by rapamycin (mTOR inhibitor) and reversed by MHY1485 ...
Jiatong Yao   +10 more
wiley   +1 more source

CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images

open access: yes
Glaucoma is a typical eye disorder that induces damage to the optic nerve due to increased intraocular pressure. It ultimately leads to partial or complete blindness without clinical reversal.
Das, Dipankar   +3 more
core   +1 more source

Channel attention for quantum convolutional neural networks

open access: yesPhysical Review A
6 pages, 4 figures, 1 ...
Gekko Budiutama   +5 more
openaire   +2 more sources

Beta1 subunits enable fentanyl‐induced BK channel activation and opioid regulation of cerebral artery diameter

open access: yesFEBS Open Bio, EarlyView.
During the current opioid crisis, the majority of overdose deaths are attributed to ultra‐potent synthetic opioids, such as fentanyl. While fentanyl exerts its action via opioid receptors, we propose that potassium channels in the brain blood vessels may also sense fentanyl.
Shiwani Thapa   +4 more
wiley   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

open access: yesFEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page   +4 more
wiley   +1 more source

Ultrafast visual detection of Streptococcus suis via HtpsC‐targeted LAMP–CRISPR–Cas12a coupled with lateral flow immunochromatography

open access: yesFEBS Open Bio, EarlyView.
A rapid visual test combines DNA amplification, CRISPR–based target verification, and a lateral flow strip to detect Streptococcus suis. The assay gives results in about 45 min, reduces false‐positive interpretation, and does not require fluorescence equipment.
Liu‐xin Li   +7 more
wiley   +1 more source

Fine-Grained Diving Action Recognition via Cross-Scale Channel Attention and Spatiotemporal Attention Pooling

open access: yesIEEE Access
Fine-grained diving action recognition requires accurate modeling of critical temporal phases. However, existing general-purpose video recognition models are often affected by redundant background information when dealing with action categories with ...
Xiaowei Han   +4 more
doaj   +1 more source

Dual-Attention Based 3D Channel Estimation

open access: yesCoRR
For multi-input and multi-output (MIMO) channels, the optimal channel estimation (CE) based on linear minimum mean square error (LMMSE) requires three-dimensional (3D) filtering. However, the complexity is often prohibitive due to large matrix dimensions. Suboptimal estimators approximate 3DCE by decomposing it into time, frequency, and spatial domains,
Xiangzhao Qin, Sha Hu 0001
openaire   +3 more sources

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