Lu Xu

Nov 12, 2024 | bmccancer.biomedcentral.com | Yinggang Xu |Lifeng Huang |Jue Wang |Jinzhi He |Ye Wang |Weiwei Zhang | +7 more

Based on previous studies, the incidence of grade 3–4 neutropenia for the control group was assumed to be 40%, and we hypothesized that the incidence in the experimental group would be halved to 20%. Using a two-sided significance level (α) of 0.05 and a power of 80%, the calculated sample size for each group was 79 patients. Given the short duration of the study, we anticipate a low rate of loss to follow-up.

Jul 23, 2024 | medium.com | Lu Xu

Accurate demand forecasting is crucial in the ever-evolving world of retail. Over the past several years, I've had the opportunity to work extensively on time series forecasting for retail products. Through these experiences, I've gathered some (personal) general guidelines for improving the model accuracy by carefully modeling the impact of temperature and national holidays. In this article, I will share some of them.

Jun 24, 2024 | nature.com | Lu Xu

Dear Editor,The atypical chemoattractant receptor GPR15, a class-A GPCR, is significantly involved in colorectal cancer pathogenesis and the maintenance of intestinal immune homeostasis. Originally identified as a co-receptor for human immunodeficiency virus (HIV) or simian immunodeficiency virus (SIV), GPR15 regulates the targeted homing of T cells, notably FOXP3+ regulatory T cells (Tregs), to the lamina propria of the large intestine1.

Feb 29, 2024 | nature.com | Lu Xu |Zhe Wang

AbstractMutations in the Contactin-associated protein-like 2 (CNTNAP2) gene are associated with autism spectrum disorder (ASD), and ectodomain shedding of the CNTNAP2 protein plays a role in its function. However, key enzymes involved in the C-terminal cleavage of CNTNAP2 remain largely unknown, and the effect of ASD-associated mutations on this process and its role in ASD pathogenesis remain elusive.

Jun 22, 2023 | analyticalsciencejournals.onlinelibrary.wiley.com | Lu Xu |Qin Yang

Chemists have been pursuing general mathematical laws to explain and predict molecular properties for a long time. However, most of the traditional quantitative structure-activity relationship (QSAR) models have limited application domains; for example, they tend to have poor generalization performance when applied to molecules with parent structures different from those of the trained molecules.