Results 121 to 130 of about 147,000 (286)
One-sample aggregate data meta-analysis of medians
, 2017 An aggregate data meta-analysis is a statistical method that pools the summary statistics of several selected studies to estimate the outcome of interest.
Benedetti, Andrea +4 more
core
Advanced Science, EarlyView.This study shows that amyloid fibrils form nematic condensates via liquid–liquid crystalline phase separation (LLCPS). With increasing pH, this transition shifts toward disordered condensates formed through liquid–liquid phase separation (LLPS), in which birefringence with lack of a coherent nematic field symmetry originates from enthalpic fibril ...
Milad Radiom, Raffaele Mezzenga
wiley +1 more source
Enhanced Deep Learning Method for Natural Gas Pipeline Flow Prediction Based on Integrated Learning
IEEE AccessUrban gas pipelines must contend with situations such as road construction and excavation for house building, where short-term emergencies leading to large-scale leaks pose significant risks to both people and the environment.
Yunhao Li, Changjing Sun, Qiang Li
doaj +1 more source
On the Predictability of non-CGM Diabetes Data for Personalized Recommendation
, 2018 With continuous glucose monitoring (CGM), data-driven models on blood glucose prediction have been shown to be effective in related work. However, such (CGM) systems are not always available, e.g., for a patient at home.
Nguyen, Tu Ngoc, Rokicki, Markus
core
Advanced Science, EarlyView.This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Distance-Based Relevance Function for Imbalanced Regression
StatsImbalanced regression poses a significant challenge in real-world prediction tasks, where rare target values are prone to overfitting during model training. To address this, prior research has employed relevance functions to quantify the rarity of target
Daniel Daeyoung In, Hyunjoong Kim
doaj +1 more source
House Price Efficiency: Expectations, Sales, Symmetry [PDF]
An efficient housing market is of critical importance for individual welfare and for a well-functioning economy. We test the efficiency of this market by estimating the factors that determine both the long-run and the dynamic paths of regional house ...
Andrew Aitken, Arthur Grimes, Suzi Kerr
core
Advanced Science, EarlyView.This study uncovers two overlooked bottlenecks in cryogenic laser cooling of solids: symmetry‐driven fluorescence trapping and water vapor condensation. We demonstrate that breaking sample symmetry enhances fluorescence escape, while condensation dominates parasitic heating below 135 K.
Biao Zhong +5 more
wiley +1 more source
GARCH models with leverage effect : differences and similarities [PDF]
In this paper, we compare the statistical properties of some of the most popular GARCH models with leverage effect when their parameters satisfy the positivity, stationarity and nite fourth order moment restrictions.
Esther Ruiz, María José Rodríguez
core
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Advanced Science, EarlyView.Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source