Thermal stability analysis of a satellite-borne optical bench based on quasi-kinematic support

Macao Science Satellite-1(known as MSS-1)is a low-inclination mission that will be launched at the beginning of 2023.An optical bench is used for accessing high-precision strength and direction measurements of the magnetic field.In this paper,we present a thermal stability design for the optical bench based on quasi-kinematic support by kinematic hinges on the MSS-1.The change in angles with the finite element method(FEM)model modified by thermal deformation test data is analyzed.The robustness of the structure is also investigated via the Monte Carlo method.Two main results are obtained.First,the peak-to-peak value(Vp-p)of the inter-boresight angle is at most 1.24″,and the Vp-p of the inter-boresight angle modification and analysis is no more than 3.13″,both of which are better than those on the Swarm satellites in orbit.Second,the 90°fibers of the carbon-reinforced arm need to be strictly controlled during the technological process.

Computational Screening of Phase-separating Proteins

Phase separation is an important mechanism that mediates the compartmentalization of proteins in cells.Proteins that can undergo phase separation in cells share certain typical sequence features,like intrinsically disordered regions(IDRs)and multiple modular domains.Sequencebased analysis tools are commonly used in the screening of these proteins.However,current phase separation predictors are mostly designed for IDR-containing proteins,thus inevitably overlook the phase-separating proteins with relatively low IDR content.Features other than amino acid sequence could provide crucial information for identifying possible phase-separating proteins:protein–protein interaction(PPI)networks show multivalent interactions that underlie phase separation process;post-translational modifications(PTMs)are crucial in the regulation of phase separation behavior;spherical structures revealed in immunofluorescence(IF)images indicate condensed droplets formed by phase-separating proteins,distinguishing these proteins from non-phaseseparating proteins.Here,we summarize the sequence-based tools for predicting phaseseparating proteins and highlight the importance of incorporating PPIs,PTMs,and IF images into phase separation prediction in future studies.