Results 191 to 200 of about 958,747 (333)

A Quadratic-Time Algorithm for General Multivariate Polynomial Interpolation

, 2017
Michael Hecht, Bevan L. Cheeseman, Karl B. Hoffmann, Ivo F. Sbalzarini   +3 more
openalex   +2 more sources

BUN‐to‐ALB ratio as an effective predictor of 30 day mortality in ADHF patients in eastern China

ESC Heart Failure, EarlyView.
Abstract Aims The blood urea nitrogen‐to‐albumin ratio (BAR) is considered a potential indicator for assessing the poor prognosis of heart failure (HF). However, its prognostic value for Chinese patients with acute decompensated HF (ADHF) remains unclear.
Xin Huang, Chao Wang, Shiming He, Guoan Jian, Kun Jiang, Zihao Lu, Guotai Sheng, Yang Zou, Guobo Xie   +8 more
wiley   +1 more source

Assessment of the groundwater quality status of the phreatic aquifer in Grombalia (Tunisia) for irrigation via geostatistical modeling. [PDF]

Environ Sci Pollut Res Int
Panagiotou CF, Mellah T, Baccouche H, Eliades M, Mansouri L, Stylianou M, Stathopoulos N, Jarray H, Akrout H.   +8 more
europepmc   +1 more source

A continuity property of multivariate Lagrange interpolation [PDF]

, 1997
Thomas Bloom, Jean-Paul Calvi
openalex   +1 more source

Observational Seismic Fragility Models for Unreinforced Masonry Buildings Based on Building‐by‐Building Damage Data From the 2012 Emilia Earthquakes

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Over recent decades, Italy has been affected by multiple earthquakes, revealing the significant vulnerability of existing structures. These seismic events have resulted in notable human and economic losses, emphasising the importance of evaluating the impact of one or more seismic events on various building types.
Chiara Monteferrante, Gianluca Salamida, Claudio Mazzotti, Nicola Buratti   +3 more
wiley   +1 more source

Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions

Journal of Forecasting, EarlyView.
Abstract Reverse Unrestricted MIxed DAta Sampling (RU‐MIDAS) regressions are used to model high‐frequency responses by means of low‐frequency variables. However, due to the periodic structure of RU‐MIDAS regressions, the dimensionality grows quickly if the frequency mismatch between the high‐ and low‐frequency variables is large.
Alain Hecq, Marie Ternes, Ines Wilms
wiley   +1 more source

Climate change affects the suitability of Chinese cherry (Prunus pseudocerasus Lindl.) in China. [PDF]

Mol Hortic
Lv Z, Jiu S, Wang L, Xu Y, Wang J, Liu X, Xu J, Wang Y, Haider MS, Liu R, Zhang C.   +10 more
europepmc   +1 more source

Solvability of multivariate interpolation

, 1989
openaire   +1 more source

Stock Return Prediction Based on a Functional Capital Asset Pricing Model

Journal of Forecasting, EarlyView.
ABSTRACT The capital asset pricing model (CAPM) is readily used to capture a linear relationship between the daily returns of an asset and a market index. We extend this model to an intraday high‐frequency setting by proposing a functional CAPM estimation approach.
Ufuk Beyaztas, Kaiying Ji, Han Lin Shang, Eliza Wu   +3 more
wiley   +1 more source

Understanding the Concepts of Smart E‐Nose Technology in Combination With Machine Learning for New Era of Food Safety: An Advanced Review

Food Safety and Health, EarlyView.
E‐Nose technology enables rapid, accurate detection of volatile compounds using AI, PCA, and ANN for odor classification. Advancements in sensors and data algorithms enhance its role in food safety, healthcare, and environmental monitoring. Despite sensor challenges, ongoing innovation drives its growing importance in precise, noninvasive diagnostics ...
Poornima Singh, Umme Habiba, Zaryab Shafi, Aman Noor, Vinay Kumar Pandey, Rahul Singh   +5 more
wiley   +1 more source