Human Fibrinopeptide B ELISA kit

The profile samples prepared by focused ion beam (FIB) in crack initiation region (CIR) and fish-eye (FiE) region of failed specimens subjected to rotary bending (RB) and ultrasonic axial (UL) fatigue testing with various stress ratios (R) were observed by transmission electron microscopy (TEM) with selected area electron diffraction (SAD) detection for two high-strength steels. The grain size and the thickness of nanograin layer along the crack growth path in CIR underneath fine-granular-area (FGA) were measured for the cases of R < 0, and a normalized quantity d* based on the detected SAD patterns was introduced to quantitatively demonstrate the variation of the grain size. The results showed that the nanograin size near the origin (an inclusion) of crack initiation is smaller than that away from the inclusion. Nevertheless, there was no evidence of grain refinement in CIR for the cases of R > 0 and the FiE region outside CIR for either negative or positive stress ratio cases, which suggests that the formation of nanograin layer in the FGA region is due to the numerous cyclic pressing (NCP) process and the plastic deformation ahead of the crack tip may cause certain extent of microstructure deformation but is insufficient to form nanograin layer on crack surfaces.

This paper introduces a design of asymmetric compensation filters based on stochastic computation for auditory signal processing. Asymmetric compensation filters are used to model gammachirp filters, which well express the performance of human auditory peripheral mechanism and can be used for hearing assisting devices and noise robust speech recognition systems. Using stochastic computation, the asymmetric compensation filters are simply designed using cascaded IIR filters, thanks to a low-complexity implementation of a multiplication. However, the maximum gain of stochastic filters is limited to 1, causing undesirable filter responses. To address the issue, the proposed flexible gain adjusting (FGA) technique normalizes the gain at each IIR filter in stochastic domain while adjusting the total gain in binary domain. For hardware implementation, stochastic asymmetric compensation filters are designed using TSMC 65 nm CMOS technology and the performance is evaluated with the chip layout generated using a standard cell design flow.