Results 51 to 60 of about 23,472 (239)
Diminished heart beat nonstationarities in congestive heart failure
Studies on heart rate variability (HRV) have become popular and the possibility of diagnosis based on non-invasive techniques compels us to overcome the difficulties originated on the environmental changes that canaffect the signal.
Sabrina eCamargo +4 more
doaj +1 more source
Reanalysis Product-Based Nonstationary Frequency Analysis for Estimating Extreme Design Rainfall
Nonstationarity is one major issue in hydrological models, especially in design rainfall analysis. Design rainfalls are typically estimated by annual maximum rainfalls (AMRs) of observations below 50 years in many parts of the world, including South ...
Dong-IK Kim, Dawei Han, Taesam Lee
doaj +1 more source
The Effect of Nonstationarity on Models Inferred from Neural Data
Neurons subject to a common non-stationary input may exhibit a correlated firing behavior. Correlations in the statistics of neural spike trains also arise as the effect of interaction between neurons.
Bishop C +9 more
core +1 more source
ABSTRACT Despite the growing interest in ESG performance, limited research explores the mediating role of government policy in the relationship between Fintech, green finance and ESG outcomes. We address this gap by examining how Fintech and green finance influence ESG performance through government policies.
Mandella Osei‐Assibey Bonsu +4 more
wiley +1 more source
ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad +5 more
wiley +1 more source
Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions
We review recent articles that focus on the main issues identified in high-frequency financial data analysis. The issues to be addressed include nonstationarity, low signal-to-noise ratios, asynchronous data, imbalanced data, and intraday seasonality. We
Lu Zhang, Lei Hua
doaj +1 more source
Adjusting the Neuroimaging Statistical Inferences for Nonstationarity [PDF]
In neuroimaging cluster-based inference has generally been found to be more powerful than voxel-wise inference. However standard cluster-based methods assume stationarity (constant smoothness), while under nonstationarity clusters are larger in smooth regions just by chance, making false positive risk spatially variant. Hayasaka et al.
Gholamreza Salimi Khorshidi +2 more
openaire +5 more sources
Effect of nonstationarities on detrended fluctuation analysis [PDF]
Detrended fluctuation analysis (DFA) is a scaling analysis method used to quantify long-range power-law correlations in signals. Many physical and biological signals are ``noisy'', heterogeneous and exhibit different types of nonstationarities, which can affect the correlation properties of these signals.
Chen, Zhi +3 more
openaire +4 more sources
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su +4 more
wiley +1 more source
On the Nature of Functional Differentiation: The Role of Self-Organization with Constraints
The focus of this article is the self-organization of neural systems under constraints. In 2016, we proposed a theory for self-organization with constraints to clarify the neural mechanism of functional differentiation.
Ichiro Tsuda +3 more
doaj +1 more source

