This study aimed to investigate the impact of caloric restriction (CR) on cognitive function in aged C57BL/6 mice after surgery, as well as the underlying mechanisms.Forty 14-month-old male C57BL/6 mice were randomly assigned to the ad libitum (AL, n = 20) Face Mirrors group and the CR (n = 20) group.After feeding for 12 weeks, they were subdivided
Hardness-aware loss for object segmentation
In object segmentation, the existence of hard-classified-pixels limits the segmentation performance.Focusing on these hard pixels through assigning different weights to pixel loss can guide the learning of segmentation model effectively.Existing loss weight assignment methods perceive pixels hardness by current predicted information, pay less atten
E-cigarettes versus NRT for smoking reduction or cessation in people with mental illness: secondary analysis of data from the ASCEND trial
Background People with mental illness have higher rates of smoking than the general population and are at greater risk of smoking-related death and disability.In smokers from the general population, electronic cigarettes (e-cigarettes) have been shown to have a similar effect on quit rates as nicotine replacement therapy, but little is known about
Current Status of Biparametric MRI in Prostate Cancer Diagnosis: Literature Analysis
The role of multiparametric MRI (mpMRI) in the detection of prostate cancer is well-established.Based on the limited role of dynamic contrast enhancement (DCE) in PI-RADS v2.1, the risk of potential side effects, and the increased cost and time, there has been an increase in studies advocating for the omission of DCE from MRI assessments.Per PI-RAD
Complex Plant Process Trait Evaluation Through Decomposition of Higher-order Interaction: A Case Study in Acclimation Responses of Cold-climate Hybrid Grapevine Through Bilinear and Multiway Methods
Traditionally, the structure of higher-order data in genotype-by-environment interaction requires simplification to use bilinear reduction models.Flexible multiway reduction models have been claimed to be more informative, as they allow exploration of individual trends and account for the covariance among data modes.In complex latent traits, such P