Results 141 to 150 of about 21,998,513 (385)
Synthesis and Characterization of Photoswitchable Covalent Ligands for the β2‐Adrenoceptor
Angewandte Chemie, EarlyView.A structure‐based design of a covalent photoswitchable ligand for the β2‐adrenergic receptor, a therapeutically relevant GPCR, is described. This tool facilitates the modification of the intrinsic activity of the protein by light. Computational analysis of its mechanism of action suggests that the photoswitch takes place within the binding pocket ...
Ulrike Wirth +9 more
wiley +2 more sources
Nucleic Acids Research, 2007 Array-based technologies have been used to detect chromosomal copy number changes (aneuploidies) in the human genome. Recent studies identified numerous copy number variants (CNV) and some are common polymorphisms that may contribute to disease ...
S. Colella +9 more
semanticscholar +1 more source
Optimal control of multiple Markov switching stochastic system with application to portfolio decision [PDF]
arXiv, 2020 In this paper we set up an optimal control framework for a hybrid stochastic system with dual or multiple Markov switching diffusion processes, while Markov chains governing these switching diffusions are not identical as assumed by the existing literature.
arxiv
Misspecified Markov Switching Model [PDF]
I characterize the local power of an optimal test for a Markov Switching model under generalized alternatives. The result shows that the test still has power for the model with endogenous stochastic parameters unless they are orthogonal to the score ...
Youngki Shin
core
Deep Learning Methods in Soft Robotics: Architectures and Applications
Advanced Intelligent Systems, EarlyView.Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda +3 more
wiley +1 more source
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning
Advanced Intelligent Systems, EarlyView.This work introduces random‐forest‐based interpretable generative inverse design (RIGID), a new single‐shot inverse design method for metamaterials using interpretable machine learning and Markov chain Monte Carlo sampling. Once trained on a small dataset, RIGID can estimate the likelihood of designs achieving target behaviors (e.g., wave‐based ...
Wei (Wayne) Chen +4 more
wiley +1 more source
Massively parallel computation of globally optimal shortest paths with curvature penalization
Concurrency and Computation: Practice and Experience, Volume 35, Issue 2, 25 January 2023., 2023 Abstract We address the computation of paths globally minimizing an energy involving their curvature, with given endpoints and tangents at these endpoints, according to models known as the Reeds‐Shepp car (reversible and forward variants), the Euler‐Mumford elasticae, and the Dubins car. For that purpose, we numerically solve degenerate variants of the
Jean‐Marie Mirebeau +4 more
wiley +1 more source
Generalized Mass Action Law and Thermodynamics of Nonlinear Markov Processes [PDF]
Mathematical Modelling of Natural Phenomena 10 (5), 16-46, 2015, 2015 The nonlinear Markov processes are the measure-valued dynamical systems which preserve positivity. They can be represented as the law of large numbers limits of general Markov models of interacting particles. In physics, the kinetic equations allow Lyapunov functionals (entropy, free energy, etc.). This may be considered as a sort of inheritance of the
arxiv
Advanced Intelligent Systems, EarlyView.Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang +5 more
wiley +1 more source
Named Entity Recognition using Hidden Markov Model (HMM)
, 2012 Named Entity Recognition (NER)is the subtask of Natural Language Processing (NLP)which is the branch of artificial intelligence. It has many applications mainly inmachine translation, text to speech synthesis, natural language understanding, Information ...
Sudha Morwal +3 more
semanticscholar +1 more source