Results 61 to 70 of about 944,161 (303)
A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) [PDF]
"The authors also gratefully acknowledge the financial support of Research Councils UK for Illian"This paper develops methodology that provides a toolbox for routinely fitting complex models to realistic spatial point pattern data.
Illian, Janine Baerbel +7 more
core +1 more source
MVarGOSIM: an MPS algorithm for characterizing complex structures with multiple variables
Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability.
Yonghua Chen +6 more
doaj +1 more source
Multiple point statistical simulation using uncertain (soft) conditional data [PDF]
Abstract Geostatistical simulation methods have been used to quantify spatial variability of reservoir models since the 80s. In the last two decades, state of the art simulation methods have changed from being based on covariance-based 2-point statistics to multiple-point statistics (MPS), that allow simulation of more realistic Earth-structures.
Thomas Mejer Hansen +3 more
openaire +3 more sources
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
Traditional simulation methods that are based on some form of kriging are not sensitive to the presence of strings of connectivity of low or high values.
DE IACO, Sandra, MAGGIO, Sabrina
core +1 more source
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
Parallel Multiple-Point Statistics Algorithm Based on List and Tree Structures [PDF]
Multiple-point statistics are widely used for the simulation of categorical variables because the method allows for integrating a conceptual model via a training image and then simulating complex heterogeneous fields.
Renard, Philippe +2 more
core
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source
A 3D Fold-Modeling Method Based on Multiple-Point Statistics and Long Short-Term Memory Networks
Accurate fold models are of great significance for mineralization control, resource exploration, and underground engineering. However, existing automated modeling methods show difficulty in quantitatively describing fold development patterns and lack the
Xueye Chen +8 more
doaj +1 more source
Parallelized Adaptive Importance Sampling for Solving Inverse Problems
In the field of groundwater hydrology and more generally geophysics, solving inverse problems in a complex, geologically realistic, and discrete model space often requires the usage of Monte Carlo methods.
Christoph Jäggli +2 more
doaj +1 more source

