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1.
Sci Data ; 9(1): 710, 2022 11 18.
Article in English | MEDLINE | ID: mdl-36400781

ABSTRACT

The protracted nature of the 2016-2017 central Italy seismic sequence, with multiple damaging earthquakes spaced over months, presented serious challenges for the duty seismologists and emergency managers as they assimilated the growing sequence to advise the local population. Uncertainty concerning where and when it was safe to occupy vulnerable structures highlighted the need for timely delivery of scientifically based understanding of the evolving hazard and risk. Seismic hazard assessment during complex sequences depends critically on up-to-date earthquake catalogues-i.e., data on locations, magnitudes, and activity of earthquakes-to characterize the ongoing seismicity and fuel earthquake forecasting models. Here we document six earthquake catalogues of this sequence that were developed using a variety of methods. The catalogues possess different levels of resolution and completeness resulting from progressive enhancements in the data availability, detection sensitivity, and hypocentral location accuracy. The catalogues range from real-time to advanced machine-learning procedures and highlight both the promises as well as the challenges of implementing advanced workflows in an operational environment.

2.
Nat Commun ; 13(1): 5087, 2022 08 29.
Article in English | MEDLINE | ID: mdl-36038553

ABSTRACT

The Magnitude-Frequency-Distribution (MFD) of earthquakes is typically modeled with the (tapered) Gutenberg-Richter relation. The main parameter of this relation, the b-value, controls the relative rate of small and large earthquakes. Resolving spatiotemporal variations of the b-value is critical to understanding the earthquake occurrence process and improving earthquake forecasting. However, this variation is not well understood. Here we present remarkable MFD variability during the complex 2016/17 central Italy sequence using a high-resolution earthquake catalog. Isolating seismically active volumes ('clusters') reveals that the MFD differed in nearby clusters, varied or remained constant in time depending on the cluster, and increased in b-value in the cluster where the largest earthquake eventually occurred. These findings suggest that the fault system's heterogeneity and complexity influence the MFD. Our findings raise the question "b-value of what?": interpreting and using MFD variability needs a spatiotemporal scale that is physically meaningful, like the one proposed here.


Subject(s)
Earthquakes , Forecasting , Italy
3.
Comput Methods Biomech Biomed Engin ; 22(11): 961-971, 2019 Aug.
Article in English | MEDLINE | ID: mdl-31045444

ABSTRACT

Conventional approaches of implementing computational fluid dynamics to study aneurysmal hemodynamics after treatment with a flow diverter stent are computationally expensive. Cumbersome meshing and lengthy simulation runtimes are common. To address these issues, we present a novel volume penalization method that considers flow diverters as heterogeneous porous media. The proposed model requires a considerably smaller number of mesh elements, leading to faster simulation runtimes. Three patient-specific aneurysms were virtually treated with flow diverters and aneurysmal hemodynamics were simulated. The results of the virtual deployments including aneurysmal hemodynamics were compared to corresponding results from conventional approaches. The comparisons showed that the proposed approach led to 9.12 times increase in the speed of simulations on average. Further, aneurysmal kinetic energy and inflow rate metrics for the proposed approach were consistent with those from conventional approaches, differing on average by 3.52% and 3.78%, respectively.


Subject(s)
Hemodynamics , Intracranial Aneurysm/physiopathology , Numerical Analysis, Computer-Assisted , Stents , Algorithms , Computer Simulation , Humans , Hydrodynamics , Porosity
4.
Cardiovasc Eng Technol ; 10(1): 32-45, 2019 03.
Article in English | MEDLINE | ID: mdl-30341728

ABSTRACT

PURPOSE: To gain insight into the influence of coils on aneurysmal hemodynamics, computational fluid dynamics (CFD) can be used. Conventional methods of modeling coils consider the explicit geometry of the deployed devices within the aneurysm and discretize the fluid domain. However, the complex geometry of a coil mass leads to cumbersome domain discretization along with a significant number of mesh elements. These problems have motivated a homogeneous porous medium coil model, whereby the explicit geometry of the coils is greatly simplified, and relevant homogeneous porous medium parameters are approximated. Unfortunately, since the coils are not distributed uniformly in the aneurysm, the homogeneity assumption is no longer valid. METHODS: In this paper, a novel heterogeneous porous medium approach is introduced. To verify the model, we performed CFD simulations to calculate the pressure drop caused by actual deployed coils in a straight cylinder. Next, we considered three different anatomical aneurysm geometries virtually treated with coils and studied the hemodynamics using the presented heterogeneous porous medium model. RESULTS: We show that the blood kinetic energy predicted by the heterogeneous model is in strong agreement with the conventional approach. The homogeneity assumption, on the other hand, significantly over-predicts the blood kinetic energy within the aneurysmal sac. CONCLUSIONS: These results indicate that the benefits of the porous medium assumption can be retained if a heterogeneous approach is applied. Implementation of the presented method led to a substantial reduction in the total number of mesh elements compared to the conventional method, and greater accuracy was enabled by considering heterogeneity compared to the homogenous approach.


Subject(s)
Cerebral Arteries/physiopathology , Cerebrovascular Circulation , Computer Simulation , Embolization, Therapeutic/instrumentation , Intracranial Aneurysm/therapy , Models, Cardiovascular , Algorithms , Blood Flow Velocity , Equipment Design , Humans , Intracranial Aneurysm/physiopathology , Porosity
5.
Biopsychosoc Med ; 4(1): 23, 2010 Dec 20.
Article in English | MEDLINE | ID: mdl-21171975

ABSTRACT

Bronchial Asthma is a worldwide condition with particularly high prevalence in first world countries. The reasons are multifactorial but a neglected area is the psychological domain. It is well known that heavy emotions can trigger attacks and that depression negatively affects treatment outcomes. It is also known that personality type has a greater effect on disease prevalence than in many other conditions. However, many potential psychological treatments are hardly considered, neither in treatment guidelines nor in reviews by asthma specialists. Moreover, there is very little research concerning the beliefs and practices of doctors regarding psychological treatments. Using a questionnaire survey we ascertained that local GPs in Saxony-Anhalt have reasonably good knowledge about the psychological elements of asthma; a third consider it to be some of the influence (20-40% aetiology) and a further third consider it to be even more important than that (at least 40% total aetiology). Our GPs use psychosomatic counseling sometimes or usually in the areas of sport and smoking (circa 85% GPs), although less so regarding breathing techniques and relaxation (c40% usually or sometimes do this) However despite this knowledge they refer to the relevant clinicians very rarely (98% sometimes, usually or always refer to a respiratory physician compared with only 11% referring for psychological help).

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