Results 191 to 200 of about 2,282,393 (329)
Utilization of machine learning to identify lower extremity biomechanical predictors of rupture in a validated cadaveric model of ACL injury. [PDF]
Khorrami P +5 more
europepmc +1 more source
Anuran call properties as reliable indicators of environmental suitability for reproduction
The onset of animal breeding activity is often accompanied by auditory signals, typically produced by males, that indicate reproductive status to potential mates and competitors. Here, using male anuran advertisement calls as a case study, we present the novel hypothesis that characteristics of ectotherm auditory signals that are modulated by ...
Julianne E Pekny +2 more
wiley +1 more source
Sub-surface deformation of individual fingerprint ridges during tactile interactions. [PDF]
Corniani G +5 more
europepmc +1 more source
Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang +3 more
wiley +1 more source
Deep Arctic Ocean warming enhanced by heat transferred from deep Atlantic. [PDF]
Song R, Chen X, Bi H, Wang X, Mu L.
europepmc +1 more source
Forecasting House Prices: The Role of Market Interconnectedness
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
wiley +1 more source
Revealing the bond exchange and network rearrangement mechanism in vitrimers. [PDF]
Cheng S +6 more
europepmc +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source

