Results 71 to 80 of about 1,709,470 (196)

Magnitude-Dependent Omori Law: Empirical Study and Theory

, 2004
We propose a new physically-based ``multifractal stress activation'' model of earthquake interaction and triggering based on two simple ingredients: (i) a seismic rupture results from activated processes giving an exponential dependence on the local ...
Ouillon, G., Sornette, D.
core   +1 more source

Bayesian long-run prediction in time series models. [PDF]

This paper considers Bayesian long-run prediction in time series models. We allow time series to exhibit stationary or non-stationary behavior and show how differences between prior structures which have little effect on posterior inferences can have a ...
Koop, Gary, Osiewalski, Jacek, Steel, Mark F.J.   +2 more
core  

A Unified Spatio-Temporal Inference Network for Car-Sharing Serial Prediction

Sensors
Car-sharing systems require accurate demand prediction to ensure efficient resource allocation and scheduling decisions. However, developing precise predictive models for vehicle demand remains a challenging problem due to the complex spatio-temporal ...
Nihad Brahimi, Huaping Zhang, Syed Danial Asghar Zaidi, Lin Dai   +3 more
doaj   +1 more source

WINCOF-I code for prediction of fan compressor unit with water ingestion [PDF]

The PURDUE-WINCOF code, which provides a numerical method of obtaining the performance of a fan-compressor unit of a jet engine with water ingestion into the inlet, was modified to take into account: (1) the scoop factor, (2) the time required for the ...
Mullican, A., Murthy, S. N. B.
core   +1 more source

Growing pains with kratom: experiences discussed in subreddits contrast with satisfaction expressed in surveys

Frontiers in Pharmacology
Background“Kratom” refers to an array of bioactive products derived from Mitragyna speciosa, a tree indigenous to Southeast Asia. Most kratom consumers report analgesic and stimulatory effects, and common reasons for use are to address mental and ...
Jeffrey M. Rogers, Kayla Colvin, David H. Epstein, Oliver Grundmann, Christopher R. McCurdy, Kirsten E. Smith   +5 more
doaj   +1 more source

Delirium prediction in the intensive care unit: comparison of two delirium prediction models

Critical Care, 2018
Background Accurate prediction of delirium in the intensive care unit (ICU) may facilitate efficient use of early preventive strategies and stratification of ICU patients by delirium risk in clinical research, but the optimal delirium prediction model to
Annelies Wassenaar, Lisette Schoonhoven, John W. Devlin, Frank M. P. van Haren, Arjen J. C. Slooter, Philippe G. Jorens, Mathieu van der Jagt, Koen S. Simons, Ingrid Egerod, Lisa D. Burry, Albertus Beishuizen, Joaquim Matos, A. Rogier T. Donders, Peter Pickkers, Mark van den Boogaard   +14 more
doaj   +1 more source

To predict and to manage. Predictive policing in the United States [PDF]

Big Data & Society, 2019
This article offers a detailed examination of the content of predictive policing applications. Crime prediction machines are used by governments to shape the moral behavior of police. They serve not only to predict when and where crime is likely to occur, but also to regulate police work. They calculate equivalence ratios, distributing security across
openaire   +3 more sources

Autonomous UAV Safety Oriented Situation Monitoring and Evaluation System

Drones
In this paper, a LabVIEW-based online monitoring and safety evaluation system for UAVs is designed to address the deficiencies in UAV flight state parameter monitoring and safety evaluation.
Zhuoyong Shi, Jiandong Zhang, Guoqing Shi, Mengjie Zhu, Longmeng Ji, Yong Wu   +5 more
doaj   +1 more source

Seasonal Cycles in European Agricultural Commodity Prices [PDF]

This paper explores the seasonal cycles of European agricultural commodity prices. We focus on three food crops (barley, soft and durum wheat) and on beef.
Jumah, Adusei, Kunst, Robert M.
core  

Reducing Branch Misprediction Penalty through Confidence Estimation

Journal of Computer Science and Technology, 2003
The goal of this Thesis is reducing the global penalty associated to branch mispredictions, in terms of both performance degradation and energy consumption, through the use of confidence estimation. The reduction of this global penalty has been achieved,
Juan Luis Aragón
doaj