Results 241 to 250 of about 1,673,769 (336)
Assessing the involvement of long-term memory in working memory. [PDF]
Pougeon J +3 more
europepmc +1 more source
Donor‐derived tdTomato+ mature hepatocytes were FACS‐isolated and transplanted into Fah−/− host mice. During regeneration, these cells convert into proliferative, unipotent Afp+ rHeps. Their plasticity is governed by a PPARγ/AFP‐dependent metabolic switch, segregating into pro‐proliferative Afplow and pro‐survival Afphigh subpopulations.
Ting Fang +12 more
wiley +1 more source
Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie +9 more
wiley +1 more source
Contextual fear conditioning induces BNIP3L‐dependent mitochondrial fission in glutamatergic neurons of the BLA, independently of mitophagy. Loss of BNIP3L elevates Drp1Ser637 phosphorylation, thereby suppressing mitochondrial fission, compromising ATP production, and attenuating excitatory synaptic transmission.
Xingxian Zhang +13 more
wiley +1 more source
Spatial contexts with reliable neural representations support reinstatement of subsequently placed objects. [PDF]
Masís-Obando R +2 more
europepmc +1 more source
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee +17 more
wiley +1 more source
Negative allosteric modulation of mGlu7 disrupts fear memory reconsolidation and glutamatergic signaling in rat and human brain tissue. [PDF]
Ciobanu AC +11 more
europepmc +1 more source
CACLENS: A Multitask Deep Learning System for Enzyme Discovery
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi +5 more
wiley +1 more source
Maternal recall of exclusive and any breastfeeding duration during the first 6 months- an examination of retrospective accuracy at 12 months within a large prospective breastfeeding survey in Germany. [PDF]
Kersting M +4 more
europepmc +1 more source

