Results 221 to 230 of about 146,110 (315)
Land Degradation &Development, EarlyView.ABSTRACT Against the backdrop of global climate change and carbon neutrality goals, accurately assessing the impacts of land use on carbon stocks and linking forward‐looking simulations with the identification of priority restoration zones is essential to shift from reactive responses to proactive planning. In this study, we coupled the PLUS and InVEST
Mengqi Ran, Quan Zhu, Junqia Kong
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Analysis of Fatigue and Residual Strength Estimation of Polymer Matrix Composites Using the Theory of the Markov Chain Method. [PDF]
Materials (Basel)Chatys R, Kłonica M, Blumbergs I.
europepmc +1 more source
Limnology and Oceanography: Methods, EarlyView.Abstract Tailwaters are ubiquitous and highly managed ecosystems whose food webs often rely disproportionately on autochthonous energy. In situ continuous dissolved oxygen data are increasingly being used to estimate gross primary productivity and ecosystem respiration in rivers, but this approach is complicated in tailwaters, where upriver ...
Ian W. Bishop +5 more
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Enhancing Bidirectional Modbus TCP ↔ RTU Gateway Performance: A UDP Mechanism and Markov Chain Approach. [PDF]
Sensors (Basel)Zhao S +7 more
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The Annals of Mathematical Statistics, 1961 Kemeny, John G., Snell, J. Laurie
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Limnology and Oceanography: Methods, EarlyView.Abstract Carbon (δ13C) and nitrogen (δ15N) stable isotope ratios allow the reconstruction of food webs, provided that all trophic levels are properly characterized. In freshwater ecosystems, small‐bodied invertebrates often occupy central positions in food webs, with whole‐body samples commonly used for their stable isotope analysis, due to ...
Alan Fritsch +3 more
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Two fast algorithms for finding the solution of the lower Hessenberg quasi-Toeplitz linear system from Markov chain. [PDF]
Sci RepFu Y, Jiang X, Zheng Y, Jiang Z.
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Predicting Statistical Signatures of Collective Emission in Disordered Color Center Ensembles
Laser &Photonics Reviews, EarlyView.We present an efficient simulation framework for modeling collective emission in disordered ensembles of quantum emitters. The low computational complexity enables large‐scale Monte Carlo simulations. Applied to SiV−${\rm SiV}^{-}$ clusters, it predicts thresholded superradiant bursts set by emitter number and quantum efficiency, as well as interaction‐
Qingyi Zhou +4 more
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Approximating the ideal observer for joint signal detection and estimation tasks by the use of Markov-Chain Monte Carlo with generative adversarial networks. [PDF]
J Med Imaging (Bellingham)Li D, Li K, Zhou W, Anastasio MA.
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Movement Disorders, EarlyView.Abstract Background The identification of Parkinson's disease (PD) subtypes is crucial for predicting the disease course and designing personalized therapeutic strategies. Objectives The aim of the study was to characterize the heterogeneity of the spatiotemporal evolutionary patterns of striatal dopamine depletion and cerebral hypoperfusion in PD ...
Yeeun Sun +9 more
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