Results 111 to 120 of about 93,524 (286)

Periodontitis severity and its social and clinical determinants: An ACES framework‐based NHANES analysis

Journal of Periodontology, EarlyView.
Abstract Objectives To assess associations between the poverty‐income ratio (PIR) and periodontitis severity using Application of the 2018 Periodontal Status Classification to Epidemiological Survey Data (ACES) framework. Methods Three NHANES cycles (2009–2014) with adults aged ≥30 years with complete periodontal examinations (n = 10,598) were included.
Meng Xuan Chen, Yue Yu, Chen Xuan Wei, Hamoun Sabri, Muhammad H. A. Saleh   +4 more
wiley   +1 more source

Do Gender, Experience, Age, and Expectations Influence the Use of AI? A Binary Logistic Regression Analysis Applied to Entrepreneurship Students

Education Sciences
Based on data from 208 students involved in entrepreneurship studies at Tecnológico de Monterrey, Mexico, this paper examines whether prior experience with AI, expectations, gender, and age reinforce future AI use.
José Manuel Saiz-Alvarez, Lizette Huezo-Ponce   +1 more
doaj   +1 more source

Balance Disorders in Young and Middle‐Aged Adults: NHANES, 2001–2004 and 2021–2023

The Laryngoscope, EarlyView.
This study presents nationally‐representative estimates from two health exam surveys, NHANES 2001–2004 and 2021–2023. In the two decades between test periods, scores on the modified Romberg screening test for balance function demonstrated significantly better age‐specific performance in 2021–2023.
Howard J. Hoffman, Diana E. Fisher, Anne E. Hogan, Helen S. Cohen, Gregory A. Flamme, Christa L. Themann, Chuan‐Ming Li, Bryan K. Ward, Charles C. Della Santina   +8 more
wiley   +1 more source

IA-KNNR: A Novel Imbalance-Aware Approach for Handling Multi-Label Class Imbalance Problem

IEEE Access
Multi-label learning (MLL) is a supervised learning where the classifier needs to learn from the data where one instance can belong to more than one class (label).
Himanshu Suyal, Shiv Naresh Shivhare, Gulshan Shrivastava, Rohit Singh, Ansh Singhal   +4 more
doaj   +1 more source

Accuracy and Stability of CUR Decompositions with Oversampling

SIAM Journal on Matrix Analysis and Applications
This work investigates the accuracy and numerical stability of CUR decompositions with oversampling. The CUR decomposition approximates a matrix using a subset of columns and rows of the matrix. When the number of columns and the rows are the same, the CUR decomposition can become unstable and less accurate due to the presence of the matrix inverse in ...
Taejun Park, Yuji Nakatsukasa
openaire   +3 more sources

3D Surface Profiling via Direct End‐to‐End Regression With a Photonic Geometric Sensor

Laser &Photonics Reviews, EarlyView.
Measurements of microscale surface patterns are essential for quality control across semiconductor and biomedical industries, yet the development of miniaturized, intelligent systems remains constrained by the complexity and bulkiness of conventional benchtop metrology.
Ziyao Zhang, Yizhi Wang, Chunhui Yao, Huiyu Huang, Rui Ma, Xin Du, Wanlu Zhang, Zhitian Shi, Minjia Chen, Ting Yan, Liang Ming, Yuxiao Ye, Richard Penty, Qixiang Cheng   +13 more
wiley   +1 more source

DPC-SMOTE Over-sampling Algorithm for Imbalanced Data Classification

Journal of Harbin University of Science and Technology
An oversampling algorithm based on density peak clustering is proposed to solve the problem of noise and imbalance among classes in imbalanced data sets.
LIU Zhihan, ZHANG Zhonglin, ZHAO Lei
doaj   +1 more source

Mass spectrometry imaging of N‐linked glycans: Fundamentals and recent advances

Mass Spectrometry Reviews, EarlyView.
Abstract With implications in several medical conditions, N‐linked glycosylation is one of the most important posttranslation modifications present in all living organisms. Due to their nontemplate synthesis, glycan structures are extraordinarily complex and require multiple analytical techniques for complete structural elucidation.
Tana V. Palomino, David C. Muddiman
wiley   +1 more source

An oversampling-undersampling strategy for large-scale data linkage

Frontiers in Big Data
Effective record linkage in big data, particularly in imbalanced datasets, is a critical yet highly challenging task due to the inherent complexity involved.
Hossein Hassani, Mohammad Reza Entezarian, Sara Zaeimzadeh, Leila Marvian, Nadejda Komendantova   +4 more
doaj   +1 more source

Single‐Shot 2D Radial Echo Planar Imaging for Functional MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a novel single‐shot radial echo planar imaging (ss‐rEPI) technique for rapid, distortion‐free brain imaging in functional MRI experiments. Methods Radial multi‐gradient echo (radial mGRE) data were acquired on a 3T clinical scanner using a 2D ss‐rEPI readout with small golden‐angle rotations between echoes.
Christoph A. Rettenmeier, Zidan Yu, Krystalyn Edwards‐Calma, Kai Tobias Block, V. Andrew Stenger   +4 more
wiley   +1 more source