Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms

Abstract The tribological properties of self-lubricating composites are influenced by many variables and complex mechanisms.Data-driven methods, including machine learning (ML) algorithms, can yield a better comprehensive understanding of complex problems under the influence of multiple parameters, typically for how tribological performances and ma

read more



An oncolytic vaccinia virus encoding hyaluronidase reshapes the extracellular matrix to enhance cancer chemotherapy and immunotherapy

Background The redundant extracellular matrix (ECM) within tumor microenvironment (TME) such as hyaluronic acid (HA) often impairs intratumoral dissemination of antitumor drugs.Oncolytic viruses (OVs) are being studied extensively for cancer therapy either alone or in conjunction with chemotherapy and immunotherapy.Here, we designed a novel recombi

read more

Influence of the Angle of Cervical Convergence on Stresses to the PDL of Abutments: A 3D Analysis Using Finite Element Method

Objective: This study was designed to compare the stress produced at the PDL of abutment teeth with two angles of cervical convergence, in otherwise similar settings.Materials and Methods: Two finite element models were designed for Cake Mix a second premolar and a removable partial denture frame containing an I-bar clasp.Maximum Principal Stress (

read more