Results 271 to 280 of about 1,498,746 (325)

An early-life survival and reproductive trade-off shapes selection on body size. [PDF]

Evol Lett
Janeiro MJ, Henshaw JM, Pemberton JM, Pilkington JG, Morrissey MB.   +4 more
europepmc   +1 more source

Population Pharmacokinetic Modeling and Target Attainment of Cefepime in Critically Ill Pediatric Patients. [PDF]

Open Forum Infect Dis
Rolsma SL, Blackman M, Beck C, Dbouk A, Morovia F, Glover F, Ess G, Dohler K, Bridges B, Choi L, Creech CB.   +10 more
europepmc   +1 more source

Association of short-term glycemic variability with subclinical myocardial injury in hospitalized patients with type 2 diabetes: a retrospective cross-sectional study. [PDF]

Front Med (Lausanne)
Wu L, Zhang L, Zhou F.
europepmc   +1 more source

Insights on accelerometer-measured 24-hour movement behaviour across type 2 diabetes sub-phenotypes in the Asian population. [PDF]

Diab Vasc Dis Res
Zheng H, Ang K, Padmapriya N, Kwan TK, Moh MC, Low S, Mueller-Riemenschneider F, Lim SC.   +7 more
europepmc   +1 more source

Nonlinear dynamics of a non-stationary rotor-disk-bearing system with rub-impact and geometric nonlinearity under non-ideal excitation. [PDF]

Sci Rep
Ghasemi MA, Bab S, Karamooz Mahdiabadi M.   +2 more
europepmc   +1 more source

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Probability Density Function of Rock Mass Discontinuity Distances

Geotechnical and Geological Engineering, 2020
Rock masses are presenting an enduring challenge since the first authors began trying to model these natural structures. This modelling needs a parametrisation and a latter value assignment for those parameter value series, which show high variability, and a lack of clear patterns, in nature.
Antonio Fernando Gorgulho Bruzzi, Pedro Alameda-Hernández, André Monteiro Klen, Tiago Martins Pereira, Milene Sabino Lana   +4 more
openaire   +1 more source

Maximum Likelihood Set for Estimating a Probability Mass Function

Neural Computation, 2005
We propose a new method for estimating the probability mass function (pmf) of a discrete and finite random variable from a small sample. We focus on the observed counts—the number of times each value appears in the sample—and define the maximum likelihood set (MLS) as the set of pmfs that put more mass on the observed counts than on any other set of ...
Jedynak, Bruno M., Khudanpur, Sanjeev
openaire   +3 more sources