The problem of maximum inner product search (MIPS) is one of the most important components in machine learning systems.However, this problem does not care about diversity, although result diversification can improve user satisfaction.This paper hence considers a new problem, namely the categorical diversity-aware IPS problem, in which users can sel
Micro- and nanomotors (MNMs) are micro/nanoparticles that can perform autonomous motion in complex fluids driven by different Wooden Dolls power sources.They have been attracting increasing attention due to their great potential in a variety of applications ranging from environmental science to biomedical engineering.Over the past decades, this fie
Objective To analyze the trend in group voluntary blood donation from 2012 to 2020 in Shandong, China, so as to provide scientific basis for establishing effective recruitment strategy and promoting voluntary blood donation.Methods The development trend was analyzed based on the total donations and volumes of group voluntary blood donation and the
Diffuse uterine leiomyomatosis is a rare and benign condition which involves the development of innumerable poorly defined, confluent smooth muscle nodules that replace Spoons most of the uterine parenchyma.It results in a symmetrically enlarged uterus.The etiology of these benign tumors is not completely understood.Patients with leiomyomatosis usu
Motivation: Combinatorial biomarkers are considered more specific and sensitive than single markers in medical diagnos-tics and prediction, yet even detection of such these combinatorial biomarkers requires deep computational analysis.The principles of analytic combinatorics, linear and kernel ridge regression, and machine learning were applied to