Results 161 to 170 of about 666,819 (283)

Brand public opinion data analysis method based on deep learning. [PDF]

PLoS One
Li M, Chung W.
europepmc   +1 more source

Unpacking early risks for peer victimization: A network analysis of early temperament and polygenic risk scores

JCPP Advances, EarlyView.
Abstract Background Children who show difficult temperament are at risk of peer victimisation, which in turn associates with numerous negative outcomes later in life. We used network analysis to examine whether specific aspects of difficult temperament contributed to these associations, and whether the links were moderated by variations in genetic ...
Tom C.‐H. Wu, Deniz Konac, Liliana Garcia‐Mondragon, Alex F. Martin, Barbara Maughan, Ted Barker   +5 more
wiley   +1 more source

Unveiling patterns: an exploration of machine learning techniques for unsupervised feature selection in single-cell data. [PDF]

Brief Bioinform
Chatterjee N, Taraskin A, Divakaran H, Jaeger N, Enriquez V, Hedrick CC, Alimadadi A.   +6 more
europepmc   +1 more source

Teaching Occlusal Splints in the Digital Age: Comparing Student Experiences with Conventional and CAD/CAM Workflows

Journal of Dental Education, EarlyView.
ABSTRACT Background The teaching of occlusal splint therapy in dental education is evolving with the integration of digital workflows. Although digital tools offer operational advantages, conventional methods remain pedagogically relevant. Understanding students’ perceptions of both approaches is essential for guiding curriculum innovation.
Marcelo José Palma‐Fernandes, Júlio Ruiz‐Marrara, Maria Fernanda de Campos‐Muller, Melissa Oliveira de Melchior, Inês Sansonetty Gonçalves Côrte‐Real, Jardel Francisco Mazzi‐Chaves, Laís Valencise Magri   +6 more
wiley   +1 more source

Gonorrhea in China: shaping medical knowledge and transforming public perceptions. [PDF]

Front Public Health
Miao P.
europepmc   +1 more source

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang, Walter Zhao, Yifan Wang, Deborah H. Kwon, Ting‐Yu Su, Nancy A. Obuchowski, Mark A. Griswold, Zhong Irene Wang, Dan Ma   +8 more
wiley   +1 more source

Cardiac MR Fingerprinting at 0.55T Using a Deep Image Prior for Joint T1, T2, and M0 Mapping

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background 0.55T systems offer unique advantages and may support expanded access to cardiac MRI. Purpose To assess the feasibility of 0.55T cardiac MR Fingerprinting (MRF), leveraging a deep image prior reconstruction to mitigate noise. Study Type Phantom and prospective in vivo assessment.
Zhongnan Liu, Zexuan Liu, Imran Rashid, Mauricio Stanzione Galizia, Christopher Scoma, William Truesdell, Prachi Agarwal, Nicole Seiberlich, Liyue Shen, Jesse Hamilton   +9 more
wiley   +1 more source

FroM Superstring to Indexing: a space-efficient index for unconstrained <i>k</i>-mer sets using the Masked Burrows-Wheeler Transform (MBWT). [PDF]

Bioinform Adv
Sladký O, Veselý P, Břinda K.
europepmc   +1 more source

Linking Age‐Diversity Practices and Company Ratings Over Time: Evidence From Employer Reviews and a Longitudinal Experiment

Journal of Organizational Behavior, EarlyView.
ABSTRACT As global populations age, organizations face increasing pressure to support an age‐diverse workforce. Although age‐diversity practices have been shown to yield individual benefits, their temporal impact on broader evaluations of the organization such as employees' company ratings remains underexplored.
Claudia C. Kitz, Kyriaki Fousiani, Susanne Scheibe, Raphael Eppler‐Hattab   +3 more
wiley   +1 more source

Microbiome data integration via shared dictionary learning. [PDF]

Nat Commun
Yuan B, Wang S.
europepmc   +1 more source