Short communication: Genomic prediction based on unbiased estimation of the genomic relationship matrix in pigs.

The traditional genomic relationship matrix (GRM) has shown to be a biased estimation of true kinship, which can affect subsequent genetic analyses. In this study, we employed an unbiased kinship (UKin) estimation method within the genomic best linear unbiased prediction framework to evaluate its prediction performance on both a simulated dataset and a Large White pig dataset. The simulated dataset encompasses six traits, 900 quantitative trait loci, and 36 000 single nucleotide polymorphisms (SNPs).

Cognitive function differs across healthy lifestyle behavior profiles: a 10-year population-based prospective cohort study.

Background: Modifiable lifestyle behaviors significantly influence the risk of cognitive impairment. However, the cumulative effects of multidimensional lifestyle profiles on cognitive function remain poorly understood, as most studies examine individual lifestyle behaviors in isolation. This study aimed to identify distinct profiles of individuals based on healthy lifestyle behaviors and to examine associations between these profiles and cognitive function in older Chinese adults.

Two-dimensional Health State Map to define metabolic health using separated static and dynamic homeostasis features: a proof-of-concept study.

Defining metabolic health is critical for the earlier reversing of metabolic dysfunction and disease, and fasting-based diagnosis may not adequately assess an individual's metabolic adaptivity under stress. We constructed a novel Health State Map (HSM) comprising a Health Phenotype Score (HPS) with fasting features alone and a Homeostatic Resilience Score (HRS) with five time-point features only ( = 30, 60, 90, 180, 240 min) following a standardized mixed macronutrient tolerance test (MMTT). Among 111 Chinese adults, when the same set of fasting and post-MMTT data as for the HSM was used, the mixed-score was highly correlated with the HPS.

Resolving tissue complexity by multimodal spatial omics modeling with MISO.

Spatial molecular profiling has provided biomedical researchers valuable opportunities to better understand the relationship between cellular localization and tissue function. Effectively modeling multimodal spatial omics data is crucial for understanding tissue complexity and underlying biology. Furthermore, improvements in spatial resolution have led to the advent of technologies that can generate spatial molecular data with subcellular resolution, requiring the development of computationally efficient methods that can handle the resulting large-scale datasets.

Influence of drilling incidence angle on the drilling force distribution of pneumatic impactor.

Pneumatic impactor is widely used in the drilling process of various medium and high hard rocks with poor drill ability. Currently, there is relatively little analysis on the impact of the inclination of the rock surface during the drilling process on the drilling efficiency and excavation capability of pneumatic impactors. Based on the dynamic theory of impact drilling and finite element method (FEM), the constitutive model of HJC criterion and INVENTOR 3D mechanical structure design software, a 3D numerical analysis system of piston-bit head-rock during pneumatic impactor drilling is established by ANSYS LS-DYNA, a nonlinear dynamic analysis software.