Results 171 to 180 of about 564,129 (313)
D3Impute: Dropout-aware discrimination, distribution-aware modeling, and density-guide imputation for scRNA-seq data. [PDF]
Huang S, Jiang L, Yi M, Zhu Y.
europepmc +1 more source
Theoretical study of the zero-gap organic conductor α-(BEDT-TTF)2I3
Akito Kobayashi +2 more
openalex +2 more sources
Fractal design of 3D-printing mechanical metamaterial undergoing tailorable zero Poisson’s ratio
Yuheng Liu, Haibao Lu, Denvid Lau
openalex +1 more source
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
wiley +1 more source
Bound states in the continuum and long-lived electronic resonances in two-tangent loops cavity. [PDF]
Abdel-Ghaffar EA +3 more
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Detecting the purely imaginary Fisher zeros of an Ising spin system on a quantum computer. [PDF]
Kuzmak AR, Tkachuk VM.
europepmc +1 more source
Assessing energy use and overheating risk in net zero energy dwellings in UK
Rajat Gupta, Matthew Gregg
openalex +2 more sources
Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley +1 more source

