Results 61 to 70 of about 4,541 (238)

Derivation and Validation of a Predictive Model for Advanced Colorectal Neoplasia Among Average‐Risk Adults in China

International Journal of Cancer, EarlyView.
Efficient pre‐colonoscopy risk stratification tools are needed, especially in China. Using multicenter colorectal cancer screening data from Shandong Province, the authors developed and validated a risk prediction model for advanced colorectal neoplasia in asymptomatic individuals using sociodemographic characteristics, lifestyle factors, and medical ...
Yan Liu, Yanxiu Liu, Yukun Feng, Boyu Liu, Wenxuan Yan, Nan Zhang, Youhua Lu   +6 more
wiley   +1 more source

A Conceptually Simple Modeling Approach for Jason-1 Sea State Bias Correction Based on 3 Parameters Exclusively Derived from Altimetric Information

Remote Sensing, 2016
A conceptually simple formulation is proposed for a new empirical sea state bias (SSB) model using information retrieved entirely from altimetric data.
Nelson Pires, M. Joana Fernandes, Christine Gommenginger, Remko Scharroo   +3 more
doaj   +1 more source

Joint and Independent Associations of Dietary Antioxidant Intakes With Advanced Stages in Older Patients With Cardiovascular‐Kidney‐Metabolic Syndrome

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study explored the association between the composite dietary antioxidant index (CDAI) and cardiovascular‐kidney‐metabolic (CKM) progression in an older population. Using data from NHANES 2001–2020, we analyzed 4974 adults aged ≥ 60 years with CKM syndrome. The CDAI was calculated from the intake of six dietary antioxidants.
Fu‐Shan Qiu, Jian‐Chao Qi, Mei‐Zhu Lin, Jun‐Hua Ke   +3 more
wiley   +1 more source

Short Echo‐Time Spiral MRSI Versus Single‐Voxel Spectroscopy in the Human Brain at 3 Tesla With Semi‐LASER Localization

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Magnetic resonance spectroscopy techniques are widely used to non‐invasively study brain metabolism. Despite advances in magnetic resonance spectroscopic imaging (MRSI), there is a notable absence of research on comparing fast non‐Cartesian MRSI with single‐voxel spectroscopy (SVS), limiting our understanding of its performance and ...
Young Woo Park, Isaac M. Adanyeguh, Pierre‐Gilles Henry, Dinesh K. Deelchand   +3 more
wiley   +1 more source

Nomogram integrating MRI radiomics and white matter hyperintensity grading for predicting overall survival in patients with non‐small cell lung cancer and brain metastases receiving whole‐brain radiotherapy

Precision Radiation Oncology, EarlyView.
A prognostic nomogram integrating radiomic features and white matter hyperintensity (WMH) grading was developed to enable individualized survival prediction in patients with brain metastases (BMs). Integration of these imaging biomarkers into the clinical model enhanced predictive performance, indicating their incremental prognostic value for BM ...
Jianan Ni, Yuefeng Lu, Haoli Xu, Xuni Xu, Mengjing Zhao, Yingnan Xue, Gang Li, Yuxia Duan   +7 more
wiley   +1 more source

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal, Sara Malvar, Ranveer Chandra, Baraem P. Ismail   +3 more
wiley   +1 more source

The penalized Lebesgue constant for surface spline interpolation [PDF]

Proceedings of the American Mathematical Society, 2011
Problems involving approximation from scattered data where data is arranged quasi-uniformly have been treated by RBF methods for decades. Treating data with spatially varying density has not been investigated with the same intensity and is far less well understood.
openaire   +2 more sources

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source

Comparison of Significant Approaches of Penalized Spline Regression (P-splines)

Pakistan Journal of Statistics and Operation Research, 2018
Over the last two decades P-Splines have become a popular modeling tool in a wide class of statistical contexts. Fundamentally, semiparametric regression methods combine the leads of parametric and nonparametric approaches to regression analysis, while in precise, penalized spline regression uses the knowledge of nonparametric spline smoothing as a ...
Saira Sharif, Shahid Kamal
openaire   +2 more sources