Predicting user responses, such as clicks and conversions, is of great importance and has
found its usage inmany Web applications including recommender systems, websearch and …

Lysophosphatidic acid (LPA) stimulates Rho GTPase and its effector, the formin mDia, to
capture and stabilize microtubules in fibroblasts. We investigated whether mammalian EB1 and …

Many artificial intelligence (AI) applications often require multiple intelligent agents to work
in a collaborative effort. Efficient learning for intra-agent communication and coordination is …

Large sequence models (SM) such as GPT series and BERT have displayed outstanding
performance and generalization capabilities in natural language process, vision and recently …

An algorithm for license plate recognition (LPR) applied to the intelligent transportation system
is proposed on the basis of a novel shadow removal technique and character recognition …

The electrocatalytic oxidation of glucose in alkaline medium directly at well-aligned multi-wall
carbon nanotubes (MWNTs) electrodes has been investigated in the present study. …

Trust region methods rigorously enabled reinforcement learning (RL) agents to learn
monotonically improving policies, leading to superior performance on a variety of tasks. …

Interaction is fundamental in autonomous driving (AD). Despite more than a decade of intensive
R&D in AD, how to dynamically interact with diverse road users in various contexts still …

Introduction Recently, the Kidney Disease: Improving Global Outcomes (KDIGO) proposed
a new definition and classification of acute kidney injury (AKI) on the basis of the RIFLE (Risk, …

Cu-nanoparticles were coated on the sidewall of multiwalled carbon nanotubes (MWCNTs)
by a facile and effective in situ approach via the template of a polyelectrolyte (…