Results 91 to 100 of about 102,876 (329)
Generative Deep Learning for Advanced Battery Materials
Batteries &Supercaps, EarlyView.This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal +3 more
wiley +1 more source
IEEE Access, 2020 The stabilization problem for a class of discrete network control system with time-delay and packet loss in both S-C side and C-A side is researched in this paper.
Yanfeng Wang +6 more
doaj +1 more source
British Journal of Clinical Pharmacology, EarlyView.Aims In haematopoietic cell transplantation (HCT), neutropenia resulting from myelosuppression is an expected endpoint following busulfan‐based conditioning. However, if prolonged, neutropenia can lead to complications like serious infection and death.
Beth Apsel Winger +6 more
wiley +1 more source
Markov-Chain Perturbation and Approximation Bounds in Stochastic Biochemical Kinetics
MathematicsMarkov chain perturbation theory is a rapidly developing subfield of the theory of stochastic processes. This review outlines emerging applications of this theory in the analysis of stochastic models of chemical reactions, with a particular focus on ...
Alexander Y. Mitrophanov
doaj +1 more source
Mapping molluscan endocrinology: a systematic and critical appraisal
Biological Reviews, EarlyView.ABSTRACT Historically, a vertebrate‐centric paradigm has framed our interpretation of molluscan endocrinology, with considerable research focusing on vertebrate‐type steroid hormones (e.g. oestrogens, testosterone). However, contradictory evidence on the occurrence of vertebrate‐type steroid hormones in molluscan tissues, and a lack of the specific ...
Konstantinos Panagiotidis +3 more
wiley +1 more source
Applied Network Science, 2019 We propose a unified framework to represent a wide range of continuous-time discrete-state Markov processes on networks, and show how many network dynamics models in the literature can be represented in this unified framework.
Jonathan A. Ward, Martín López-García
doaj +1 more source
Permanental sequences that are related to a Markov chain example of Kolmogorov
, 2019 Permanental sequences with non-symmetric kernels that are generalization of the potentials of a Markov chain with state space $\{0,1/2, \ldots, 1/n,\ldots\}$ that was introduced by Kolmogorov, are studied. Depending on a parameter in the kernels we obtain an exact rate of divergence of the sequence at $0$, an exact local modulus of continuity of the ...
Marcus, Michael B., Rosen, Jay
openaire +2 more sources
Continual decision‐making dynamics across biological organisms
Biological Reviews, EarlyView.ABSTRACT Decision‐making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision‐making can vary substantially across species. Here, we aim to extend the comparative scope of decision‐making analyses to phylogenetically diverse organisms.
Liberty Severs, Qiuran Wang
wiley +1 more source
Parallel and interacting Markov chains Monte Carlo method [PDF]
, 2006 In many situations it is important to be able to propose $N$ independent realizations of a given distribution law. We propose a strategy for making $N$ parallel Monte Carlo Markov Chains (MCMC) interact in order to get an approximation of an independent $
Campillo, Fabien, Rossi, Vivien
core +3 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT The pressure on corporations to contribute to sustainable development is increasing. It is widely recognised that the sustainable development goals and deadlines cannot be achieved without the support of incumbent firms. Business model innovation (BMI) is identified as a means for businesses to contribute to sustainable development.
Mercy Masaeli +3 more
wiley +1 more source