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ABSTRACT Robust quantification of the prograde P–T trajectories of eclogite exhumed from subduction zones is fundamental for deciphering the thermal structure evolution and understanding the geodynamic processes during continental subduction. In this study, we investigate four metabasites located in Hong'an within the western Dabie HP/UHP metamorphic belt. Based on detailed petrographic observations and mineral chemistry analyses, combined with phase equilibrium modelling, average‐T calculation and conventional thermobarometry, we quantify the prograde to peak P–T paths for each of the four metabasites and the retrograde P–T conditions for two samples. The results show that three of the four metabasites have similar prograde P–T paths evolving from 15.5–18.5 kbar, 440–485 °C (M0 stage) to 18.5–20.5 kbar, 500–525 °C (M1 stage). On the other hand, although the fourth sample shares a similar P–T evolution for a segment of the late prograde stage from 18.0–19.0 kbar, ~500 °C to 20.0–22.0 kbar, ~550 °C, it attains Pmax at a notably higher pressure of ~26.0 kbar at 550–560 °C (M2 stage). During exhumation, we identify an early retrograde stage occurring at 9.0–12.5 kbar, 545–580 °C (M3 stage), followed by a later retrograde stage at 3.5–8.0 kbar, 540–580 °C (M4 stage). In combination with previous studies, we propose a common dual‐segmented P–T path for the late prograde evolution of the HP/UHP rocks in western Dabie. The initial segment exhibits a gentle slope with apparent geotherms of 7–8 °C/km, whereas the subsequent segment displays a steeper slope with apparent geotherms of 5–6 °C/km. We interpret the turning point at 20.0–23.0 kbar (corresponding to depths of 70–80 km) as marking the maximum decoupling depths (MDD) between the subducting slab and the overlying mantle wedge. Notably, this prograde dual‐segmented geotherm for eclogite in western Dabie and the corresponding MDD are similar to computational geodynamic models. [ABSTRACT FROM AUTHOR]

The design of system architecture that incorporates a System‐on‐chip (SoC) and a co‐processor, has emerged as a prevailing trend in the realm of Mixed‐Reality (MR) devices. The interconnection between such two chips is critical for the performance and reliability of MR devices, but it faces challenges from high bandwidth requirement and various channel losses in different chip placements. In this paper, we present a typical chip‐to‐chip interconnect model that can support 32Gbps bandwidth and adapt to various channel loss and transmission line lengths in different system designs. The interconnect model incorporates each typical element in packages, PCB and FPC. We optimize the interconnect model in signal integrity, use the model to simulate the interconnection up to 400mm‐length with calibrated material properties and analyze its performance in time‐domain and frequency‐domain. Our model can offer valuable insight for interconnect design when incorporating a co‐processor approach into MR devices. [ABSTRACT FROM AUTHOR]

High‐resolution RGBA format images are widely used in X‐Reality for rendering, which makes RGBA image compression an indispensable part of data transmission process. As current majority of commonly used compression standards not supporting RGBA format and simple RGBA to RGB format conversion introduces irreversible Alpha channel information loss, we propose an image compression method. By extracting alpha channel information and concatenating it with the RGB part, combined with any general compression algorithm, the method showed effective RGBA image compression ability in experiment with lightly Alpha channel information loss. [ABSTRACT FROM AUTHOR]

The underwater motion of the ROV is affected by various environmental factors, such as wind, waves, and currents. The complex relationship between these disturbance variables results in non-Gaussian noise distribution, which cannot be handled by the classical Kalman filter. For the accurate and real-time observation of ROV climbing, and, at the same time, to reduce the influence of the uncertainty of the noise distribution, the ROV state filter is designed based on the mixture of Gaussian model theory with the expectation-maximization cubature particle filter (EM-MOGCPF). The EM-MOGCPF considers different sensor measurement noises, and the addition of mixture of Gaussian (MOG) improves the fineness and real-time properties, while the expectation-maximization (EM) reduces the complexity of the algorithm. To estimate the ROV xyz-axis and yaw angular states, we establish a four-degree-of-freedom (4-DOF) ROV kinetics model, which uses a simulation platform for multiple sea state degrees. The results show that the EM-MOGCPF effectively improves the estimation accuracy and exhibits strong adaptability to nonlinear and non-Gaussian environments. We believe that this algorithm holds promise in solving the state estimation challenge in these difficult environments. [ABSTRACT FROM AUTHOR]

In this paper, we report a novel multi-responsive walnut-like micromotor consisting of polycaprolactone (PCL), iron oxide nanoparticles (Fe 3 O 4 NPs), and catalase, which is constructed through a one-step electrospinning method. Based on the catalytic activity and photothermal and magnetic responsiveness originating from catalase and Fe 3 O 4 NPs, respectively, the resulting micromotor exhibits an autonomous movement in the presence of hydrogen peroxide (H 2 O 2 ) fuel, controlled motion velocity under light irradiation, and guided movement direction upon the application of an external magnetic field. Owing to the hydrophobic nature of the PCL polymer constituent inside the micromotor, the autonomous moving micromotor can collect spilled oil inside a solution once it collides with the oil droplet. Since the micromotor could be separated out using a magnetic field, we believe the current walnut-like micromotor holds great promise in the field of environmental remediation.