Rapid identification of the aging time of Liupao tea using AI-multimodal fusion sensing technology combined with analysis of tea polysaccharide conjugates.

Identifying the aging time of Liupao Tea (LPT) presents a persistent challenge. We utilized an AI-Multimodal fusion method combining FTIR, E-nose, and E-tongue to discern LPT's aging years. Compared to single-source and two-source fusion methods, the three-source fusion significantly enhanced identifying accuracy across all four machine learning algorithms (Decision tree, Random forest, K-nearest neighbor, and Partial least squares Discriminant Analysis), achieving optimal accuracy of 98-100 %.

Reference genome sequence and population genomic analysis of peas provide insights into the genetic basis of Mendelian and other agronomic traits.

Peas are essential for human nutrition and played a crucial role in the discovery of Mendelian laws of inheritance. In this study, we assembled the genome of the elite vegetable pea cultivar 'Zhewan No. 1' at the chromosome level and analyzed resequencing data from 314 accessions, creating a comprehensive map of genetic variation in peas.

[Influence of social support and personality traits on psychological characteristic of patients with chronic cervicodynia and lumbodynia].

Objective: To explore the effects of social support and personality traits on psychological characteristic of patients with chronic cervicodynia and lumbodynia and improve the level of diagnosis and treatment.

Methods: From August 2009 to April 2010, 231 patients (obtained 217 effective responses) with chronic cervicodynia and lumbodynia were recruited. Among the patients, there were 123 males and 94 females, with an average age of (38.