Results 1 to 10 of about 22,579 (258)
Probabilistic Modeling and Estimation of Flow Rate of Sewage Treatment Plant Using Monte Carlo Hybrid Method [PDF]
آب و فاضلاب, 2021 One of the most important results of hydraulic and hydrological modeling of the urban drainage network is hydrograph estimation. Annual journals on hydraulic and hydrological problems, especially in developing countries, are full of missing data ...
Jamshid Piri +3 more
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Why Firing Rate Distributions Are Important for Understanding Spinal Central Pattern Generators
Frontiers in Human Neuroscience, 2021 Networks in the spinal cord, which are responsible for the generation of rhythmic movements, commonly known as central pattern generators (CPGs), have remained elusive for decades.
Henrik Lindén, Rune W. Berg
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Model-Driven Analysis of ECG Using Reinforcement Learning
Bioengineering, 2023 Modeling is essential to better understand the generative mechanisms responsible for experimental observations gathered from complex systems. In this work, we are using such an approach to analyze the electrocardiogram (ECG).
Christian O’Reilly +3 more
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Observational and Critical State Physics Descriptions of Long-Range Flow Structures
Geosciences, 2020 Using Fracture Seismic methods to map fluid-conducting fracture zones makes it important to understand fracture connectivity over distances greater 10−20 m in the Earth’s upper crust.
Peter E. Malin +3 more
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A Framework for Analysis and Prediction of Operational Risk Stress
Mathematical and Computational Applications, 2021 A model for financial stress testing and stability analysis is presented. Given operational risk loss data within a time window, short-term projections are made using Loess fits to sequences of lognormal parameters.
Peter Mitic
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On the three-spliced Exponential-Lognormal-Pareto distribution
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022 To model statistical data coming from two di erent distributions, Cooray and Ananda [1] introduced a composite (two-spliced) Lognormal-Pareto model, that was further extended by Scollnik [9] and fitted to insurance data.
Bâcă Adrian, Vernic Raluca
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BRAQUE: Bayesian Reduction for Amplified Quantization in UMAP Embedding
Entropy, 2023 Single-cell biology has revolutionized the way we understand biological processes. In this paper, we provide a more tailored approach to clustering and analyzing spatial single-cell data coming from immunofluorescence imaging techniques.
Lorenzo Dall’Olio +4 more
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Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts
Frontiers in Neural Circuits, 2017 The core elements of stereotypical movements such as locomotion, scratching and breathing are generated by networks in the lower brainstem and the spinal cord.
Rune W. Berg
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Lognormal Lorenz and normal receiver operating characteristic curves as mirror images [PDF]
Royal Society Open Science, 2015 The Lorenz curve for assessing economic inequality depicts the relation between two cumulative distribution functions (CDFs), one for the distribution of incomes or wealth and the other for their first-moment distribution.
R. John Irwin, Michael J. Hautus
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eLife, 2016 When spinal circuits generate rhythmic movements it is important that the neuronal activity remains within stable bounds to avoid saturation and to preserve responsiveness. Here, we simultaneously record from hundreds of neurons in lumbar spinal circuits
Peter C Petersen, Rune W Berg
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