Results 261 to 270 of about 4,125,330 (315)

Gait Retraining for Patellofemoral Pain in Runners: An Umbrella Review of Clinical and Biomechanical Evidence. [PDF]

Sports Med Open
Petri AC, Martins TB, Martins TB, de Souza J, Migliorini F, Maffulli N, Okubo R.   +6 more
europepmc   +1 more source

Implementing a patient-oriented pole walking intervention in retirement homes: A non-randomized feasibility trial. [PDF]

PLoS One
Keramati M, Rostami Haji Abadi M, Kontulainen S.   +2 more
europepmc   +1 more source

Compensation effects between the apparent activation energy and pre-exponential factor in simple models of electrocatalytic hydrogen evolution.

Faraday Discuss
Fingerhut J, Snitkoff-Sol RZ, Albers M, Vos RE, van der Heijden O, Koper MTM.   +5 more
europepmc   +1 more source

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Rate-function scheduling

Proceedings of INFOCOM '97, 2002
Rate-function scheduling (RFS) is a new deadline-based packet-scheduling service discipline that supports quality-of-service guarantees for applications with real-time communication requirements. RFS is distinguished from other service disciplines in that it achieves all of the following goals: analytically-derived performance bounds, performance ...
Norival R. Figueira, Joseph Pasquale
openaire   +1 more source

The Reversed Hazard Rate Function

Probability in the Engineering and Informational Sciences, 1998
In this paper we discuss some properties of the reversed hazard rate function. This function has been shown to be useful in the analysis of data in the presence of left censored observations. It is also natural in discussing lifetimes with reversed time scale.
Block, Henry W., Savits, Thomas H., Singh, Harshinder   +2 more
openaire   +1 more source

On Estimating the Rate-Distortion Function

2006 IEEE International Symposium on Information Theory, 2006
Suppose a string XEn1 = (X1, X2, ..., Xn) is generated by a stationary memoryless source (X n)nges1 with unknown distribution P. When the source is finite-valued, the problem of estimating the entropy H(P) using the data XEn1 has received a lot of attention.
Matthew T. Harrison, Ioannis Kontoyiannis   +1 more
openaire   +1 more source

Aggregation Rate for Compressible Functions

Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017
One of the most fundamental tasks in sensor networks is the computation of a (compressible) aggregation function of the input measurements. What rate of computation can be maintained, by properly choosing the aggregation tree, the TDMA schedule of the tree edges, and the transmission powers? We show here that the optimal rate is effectively a constant.
Magnús M. Halldórsson, Tigran Tonoyan
openaire   +1 more source