Comparable effectiveness seen for multiartery bypass grafting methods

For lower-risk patients undergoing coronary artery bypass grafting (CABG) for multivessel disease, radial artery plus one ...
EurekAlert!

Chinese Neurosurgical Journal study probes how skull implant design may shape surgical outcomes

Polyetheretherketone (PEEK) implants are widely used in cranioplasty, yet the clinical significance of implant surface design ...
GitHub

Model-Based Clustering and Variable Selection for Multivariate Count Data

Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
IEEE

Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods

Abstract: Clustering multivariate time-series data is crucial for uncovering complex temporal patterns in dynamic environments, such as building indoor conditions and behavior where variables like ...
IEEE

Missing Data Recovery Methods on Multivariate Time Series in IoT: A Comprehensive Survey

Abstract: This survey comprehensively examines the challenges and methodologies for missing data recovery in Multivariate Time Series (MTS) within the context of Internet of Things (IoT) environments.
The New York Times

Is Manchester United’s data department ‘last century’ – and how should it change?

When Patrick Dorgu’s €30million move from Lecce was finally confirmed last month, there was something different about Manchester United’s usually formulaic announcement of a new signing. This time, ...
Scientific Research Publishing

MacQueen, J. (1967). Some Methods for Classification and Analysis of Multivariate Observations. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
SciELO

Designing an Index for Multi-location Yield Stability Analysis Involving Univariate and Multivariate Methods in Rice ( Oryza sativa L.)

Under different environmental conditions, crop yields differ primarily due to G and E interactions. The Global Rice Array (GRA-IV) is IRRI's fourth flagship project to identify climate-resilient rice ...
eLife

Statistical and computational methods for integrating microbiome, host genomics, and metabolomics data

Large-scale microbiome studies are progressively utilizing multiomics designs, which include the collection of microbiome samples together with host genomics and metabolomics data. Despite the ...
Frontiers

Multivariate realized volatility: an analysis via shrinkage methods for Brazilian market data

Department of Economics, FEARP - Faculty of Economics, Business Administration and Accounting at Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil Introduction: Realized volatility ...