Human immunoglobulin A (IgA) comprises two IgA subclasses, IgA1 and IgA2, whose distribution has been shown by immunohistochemistry to be different in various body compartments. In comparison with systemic immune compartments, we investigated the IgA switch profiles at the molecular level in salivary and lacrimal glands, nasal mucosa, and proximal and distal gut mucosa. Direct switching from IgM to IgA1 or IgA2 predominated in all immune compartments analyzed. Similar composition of the Sμ-Sα1 and Sμ-Sα2 junctions was observed, including microhomology usage, which suggested that there is no major difference in the actual recombination mechanism utilized during IgA subclass switching. The proportion of IgA1/IgA2 switch recombination events largely paralleled the previously published immunohistochemical representation of IgA1(+) and IgA2(+) plasma cells, implying that the local subclass distribution generally reflects precommitted memory/effector B cells that have undergone IgA subclass switching before extravasation at the effector site. The extremely low or undetectable levels of activation-induced cytidine deaminase (AID) and Iα-Cμ circle transcripts in intestinal lamina propria samples as compared with Peyer's patches suggest that the cellular IgA subclass distribution outside of organized gut-associated lymphoid tissue is only to a minor extent, if at all, influenced by in situ switching.

No abstract

This paper presents a fault-tolerant control scheme for a class of nonlinear systems with actuator faults and unknown input disturbances. First, the sliding mode control law is designed based on the reaching law method. Then, in view of unpredictable state variables and unknown information in the control law, the original system is transformed into two subsystems through a coordinate transformation. One subsystem only has actuator faults, and the other subsystem has both actuator faults and disturbances. A sliding mode observer is designed for the two subsystems, respectively, and the equivalence principle of the sliding mode variable structure is used to realize the accurate reconstruction of the actuator faults and disturbances. Finally, the observation value and the reconstruction value are used to carry out an online adjustment to the designed sliding mode control law, and fault-tolerant control of the system is realized. The simulation results are presented to demonstrate the approach.

Ball screws are the driving components used to convert the rotational motion into linear motion in precision equipment. However, the machining accuracy of precision equipment is directly determined by the positioning accuracy of the ball screw. The authors analyze the precision sustainability of preload double-nut ball screws with raceway wear. A new wear model combining the modified Archard theory and the iterative interpolation method is established to analyze the variations in wear depth. A new model considering the coupling relationship between raceway wear and preload loss is proposed to study the precision life of the double-nut ball screw. In addition, a novel running test bench is designed to verify the precision sustainability of ball screws. The precision sustainability of the ball screw is analyzed during its life cycle, and these results match the theoretical values obtained by using the wear model.

No abstract

No abstract

No abstract

No abstract