Feature selection plays a significant role in machine learning and data mining, where the goal is to screen out the most representative and relevant subset of features from a large collection of features to improve the performance and generalization ability of the model.In this paper, a hybrid feature selection algorithm that combines a filter algo
Objective: To delineate the curative effect and safety of anti-fibrosis Chinese patent medicines (CPMs) combined with ursodeoxycholic acid (UDCA) for primary biliary cholangitis (PBC).Methods: A literature search was conducted using PubMed, Web of Science, Embase, Cochrane Library, Wanfang database, VIP database, China Biology Medicine Database, an
This article aims at discussing an aspect of contemporary literature, the viral poetry in Brazilian fanpages on Facebook, in Lipstick perspective from a lyrical demand of literary modernity: the need for concentration of poetic language and critical exercise.In Ben Wa Balls addition, we discuss some reasons for the resistance that still can be felt
A juvenile specimen of Delorhynchus cifellii, collected from the Early Permian fissure-fill deposits of Richards Spur, Oklahoma, permits the first detailed study of cranial ontogeny in this parareptile.The specimen, consisting of a partially articulated skull and mandible, exhibits several features that identify it as juvenile.The dermal tuberositi
Ensuring stability and reliability in power systems requires accurate state estimation, which is challenging due to the growing network size, noisy measurements, and nonlinear power-flow equations.In this paper, we introduce the Graph Attention Estimation Network (GAEN) model to tackle power system state estimation (PSSE) by capitalizing on the inh