Results 221 to 230 of about 1,833,346 (270)

Shannon Entropy Computations in Navier-Stokes Flow Problems Using the Stochastic Finite Volume Method. [PDF]

Entropy (Basel)
Kamiński M, Ossowski RL.
europepmc   +1 more source

Multiscale Modelling of the Electrocatalysis of Microenzymes: Insights Into the Performance of Microperoxidase at an Aqueous/Graphene Interface and Their Exploitation to Improve Performance

Advanced Science, EarlyView.
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic, Cheng Hu, Yuhui Sun, Matthew J. Penna, Meisam V. Kiamahalleh, Wenrong Yang, Mark J. Biggs   +6 more
wiley   +1 more source

Individual differences in probabilistic learning and updating predictive representations in individuals with obsessive-compulsive tendencies. [PDF]

BMC Psychiatry
Brezóczki B, Farkas BC, Hann F, Pesthy O, Tóth-Fáber E, Farkas K, Csigó K, Németh D, Vékony T.   +8 more
europepmc   +1 more source

Targeting GALNT7 Disrupts the TAZ O‐GalNAcylation Feedback Loop to Suppress Gallbladder Cancer Progression

Advanced Science, EarlyView.
Aberrant GALNT7‐mediated O‐GalNAcylation stabilizes TAZ to drive gallbladder cancer progression through a feed‐forward transcriptional loop. Structure‐based screening identifies Olaparib as a potent GALNT7 antagonist that disrupts this oncogenic axis, providing an immediate therapeutic strategy for this aggressive malignancy.
Peng Qiu, Ming Zhang, Yunxiang Feng, Yibo Deng, Kai Zhao, Xiangyu Li, Yun Lu, Li Tian, Tao Yang, Wei Yao, Jianming Wang, Zhengdong Deng   +11 more
wiley   +1 more source

Complementary yet Dissociable Influences of Medial and Lateral Orbitofrontal Cortex over Cue-Guided Decisions Involving Reward Magnitude and Uncertainty. [PDF]

J Neurosci
Schumacher JD, van Holstein M, Zhou P, MacLeod PE, Bagrodia V, Floresco SB.   +5 more
europepmc   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Decision, Inference, and Information: Formal Equivalences Under Active Inference. [PDF]

Entropy (Basel)
Sweeney P, Ruiz-Serra J, Harré MS.
europepmc   +1 more source

Extended Anionic Network in Mixed‐Valent Nitridocobaltates(I/II) LnCo2N2 (Ln = La, Pr, Nd)

Advanced Science, EarlyView.
This study presents the high‐pressure synthesis of LnCo2N2 (Ln = La, Pr, Nd) with Co in mixed valent states of +I/+II. The compounds demonstrate the stabilization of a nitridocobaltate with extended anionic Co–N layers where Co is threefold coordinated.
Nina A. M. Prinz, Jonas M. Albrecht, Dominik Werhahn, Simon Steinberg, Clemens Ritter, Simon D. Kloß   +5 more
wiley   +1 more source

Reward-related activation of fronto-striatal regions scaled negatively with C-reactive protein. [PDF]

Psychol Med
Aruldass AR, Kitzbichler M, Lim TV, Wellcome Trust Consortium for Neuroimmunology of Mood Disorders and Alzheimer’s Disease (NIMA) , Cavanagh J, Cowen P, Pariante C, Bullmore E, Harrison N.   +8 more
europepmc   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source