A unified OLED aging model combining three modeling approaches for extending AMOLED lifetime

In recent years, the increasing rate of road crashes involving cyclists with a disproportionate overrepresentation in injury statistics has become a major concern in road safety and public health. However, much remains unknown about factors contributing to cyclists’ high crash rates, especially those related to personal characteristics. This study aims to explore the influence of cyclist personality traits and cycling behaviors on their road safety outcomes using a mediated model combining these constructs. A total of 628 cyclists completed an online questionnaire consisting of questions related to cycling anger, impulsiveness, normlessness, sensation seeking, risky cycling behaviors, and involvement in crash-related conditions in the past year. After the psychometric properties of the employed scales were examined, the relationships among the tested constructs were investigated using structural equation modeling. The results showed that cyclists’ crash risks were directly predicted by risky cycling behaviors and cycling anger, and the effects of cycling anger, impulsiveness, as well as normlessness on crash risks, were mediated by cycling behaviors. The current findings provide insight into the importance of personality traits in impacting cycling safety and could facilitate the development of evidence-based prevention and promotion strategies targeting cyclists in China.

Download Full-text

Flexible parametric copula modeling approaches for clustered survival data

Pharmaceutical Statistics ◽

10.1002/pst.2153 ◽

2021 ◽

Author(s):

Sookhee Kwon ◽

Il Do Ha ◽

Jia‐Han Shih ◽

Takeshi Emura

Keyword(s):

Survival Data ◽

Modeling Approaches ◽

Copula Modeling ◽

Clustered Survival Data ◽

Parametric Copula

Download Full-text

Analyzing cross‐lag effects: A comparison of different cross‐lag modeling approaches

New Directions for Child and Adolescent Development ◽

10.1002/cad.20401 ◽

2021 ◽

Vol 2021 (175) ◽

pp. 11-33 ◽

Cited By ~ 1

Author(s):

Kevin J. Grimm ◽

Jonathan Helm ◽

Danielle Rodgers ◽

Holly O'Rourke

Keyword(s):

Lag Effects ◽

Modeling Approaches ◽

Lag Modeling

Download Full-text

Improved Hough Transform and Total Variation Algorithms for Features Extraction of Wood

Forests ◽

10.3390/f12040466 ◽

2021 ◽

Vol 12 (4) ◽

pp. 466

Author(s):

Weiwei Du ◽

Yarui Xi ◽

Kiichi Harada ◽

Yumei Zhang ◽

Keiko Nagashima ◽

...

Keyword(s):

Total Variation ◽

Hough Transform ◽

Annual Ring ◽

Wood Quality ◽

Volume Density ◽

Low Noise ◽

Impact Factors ◽

Annual Rings ◽

New Model ◽

Model Combining

Research shows that the intensity impact factors of wood, such as late timber ratio, volume density and the intensity of itself, correlate with the width of wood annual rings. Therefore, extracting wood annual ring information from wood images is helpful for evaluating wood quality. During the past few years, many researchers have conducted defect detection by studying the information of wood images. However, there are few in-depth studies on the statistics and calculation of wood annual ring information. This study proposes a new model combining the Total Variation (TV) algorithm and the improved Hough transform to accurately measure the wood annual ring information. The TV algorithm is used to suppress image noise, and the Hough transform is for detecting the center of the wood image. Moreover, the edges of wood annual rings are extracted, and the statistical ring information is calculated. The experimental results show that the new model has good denoising capability, clearly extract the edges of wood annual rings and calculate the related parameters from the indoor wood images of the processed logs and the unprocessed low-noise logs.

Download Full-text