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Subduction thermal state, slab metamorphism, and seismicity in the Makran Subduction Zone

Earth and Planetary Physics 2025年第02期9卷 266-278页

作者： Haris Faheem YingFeng Ji WeiLing Zhu Rui Qu Ye Zhu Shoichi Yoshioka State Key Laboratory of Tibetan Plateau Earth System Environment and Resources (TPESER) Institute of Tibetan Plateau Research Chinese Academy of Sciences University of Chinese Academy of Sciences research Center for Urban Safety and Security Kobe University Department of Planetology Graduate School of Science Kobe University

The dependence of the subduction regime on three-dimensional slab geometry poses a challenge for accurately estimating the evolving thermal structure of megathrusts globally. Although slab dips and ages have gained attention, the specific impacts of oblique subduction remain unmeasured. Here, we present an integrated thermal model that quantifies how slab morphology can shape the thermal state of megathrusts, such as those in the Makran Subduction Zone. The model considers both slab obliquity and depth variations along the trench. We find a considerable match between the slab petrological dehydration zone and the distribution of great crustal earthquakes. We suggest that the accumulation of fluids along megathrusts by slab metamorphism can foster more polarized conditions for decreasing plate coupling and increasing interplate ruptures. It is thus imperative to improve model representation and more realistically represent how drivers of slab geometry affect metamorphic transitions and the occurrence of earthquakes at megathrusts.

关键词： thermal regime slab dehydration earthquake 3-D model Makran Subduction Zone

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Trade-off evaluation using carbon dioxide equivalent and hazard index of a paddy soil with application of organic liquid fertilizer

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Pedosphere 2022年第6期32卷 928-932页

作者： Shohei RIYA Ryo IMANO Jining LI Huifeng SUN Sheng ZHOU Masaaki HOSOMI Department of Chemical Engineering Faculty of EngineeringTokyo University of Agriculture and Technology2-24-16 Naka-ChoKoganeiTokyo 184-8588(Japan) School of Environment Nanjing Normal UniversityNanjing 210023(China) Eco-Environmental Protection research Institute Shanghai Academy of Agricultural SciencesShanghai 201403(China)

Dear Editor,Rice is an important staple food crop in Asia,but the anaerobic soil conditions in rice fields cause emission of the potent greenhouse gas,methane(CH)(Le Mer and Roger,2001),and promote the accumulation of arsenic(As)in the grain(Le Mer and Roger,2001;Khanam et al.,2020).To facilitate sustainable agriculture,using wastewater as an organic fertilizer is essential for reducing wastewater treatment-associated energy consumption and the recycling of wastewater nutrients(Zou et al.,2009).

关键词： wastewater soil dioxide

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research on Arterial Stiffness Status in Type 2 Diabetic Patients Based on Pulse Waveform Characteristics

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Computer Modeling in Engineering & Sciences 2018年第11期117卷 143-155页

作者： Gaoyang Li Xiaorui Song Aike Qiao Makoto Ohta Graduate School of Biomedical Engineering Tohoku UniversitySendaiMiyagiJapan. Department of Radiology Taishan Medical UniversityNo.619 Greatwall RoadDaiyue DistrictTaianShandong271000China College of Life Science and Bioengineering Beijing University of TechnologyNo.100PingleyuanChaoyang DistrictBeijing100022China Institute of Fluid Science Tohoku UniversitySendai980-8577MiyagiJapan ELyTMaX UMI 3757 CNRS-Universitéde Lyon-Tohoku UniversityJapan

For patients with type 2 diabetes,the evaluation of pulse waveform characteristics is helpful to understand changes in arterial ***,there is a lack of comprehensive analysis of pulse waveform ***,we aimed to investigate the changes in pulse waveform characteristics in patients with type 2 diabetes due to increased arterial *** this study,25 patients with type 2 diabetes and 50 healthy subjects were selected based on their clinical ***,height,weight,blood pressure,and pulse pressure were collected as the subjects’basic *** brachial-ankle pulse wave velocity(baPWV)was collected as an index of arterial *** of time[the pulse wave period(T),the relative positions of peak point(T1)and notch point(T2),and pulse wave time difference between upper and lower limbs(T3)]and area[the total waveform area(A),and the areas of the waveform before(A1)and after(A2)the notch point]were extracted from the pulse wave signals as pulse waveform *** independent sample t-test was performed to determine whether there were significant differences between ***’s correlation analysis was performed to determine the correlations between pulse waveform parameters and *** were significant differences in T3,A,A1,and A2 between the groups(p patients with type 2 diabetes,there were statistically significant correlations between baPWV and T3,A,A1,and A2(p study quantitatively assessed changes in arterial pulse waveform parameters in patients with type 2 *** was demonstrated that pulse waveform characteristics(T3,A,A1,and A2)could be used as indices of arterial stiffness in patients with type 2 diabetes.

关键词： Type 2 diabetes pulse waveform arterial stiffness.

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Ground Reaction Force and Moment Estimation through EMG Sensing Using Long Short-Term Memory Network during Posture Coordination

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Cyborg and Bionic Systems 2023年第1期4卷 409-417页

作者： Sei-ichi Sakamoto Yonatan Hutabarat Dai Owaki Mitsuhiro Hayashibe Neuro-Robotics Lab Graduate School of Biomedical EngineeringTohoku UniversitySendaiJapan Department of Robotics Graduate School of EngineeringTohoku UniversitySendaiJapan

Motion prediction based on kinematic information such as body segment displacement and joint angle has been widely *** motions originate from forces,it is beneficial to estimate dynamic information,such as the ground reaction force(GRF),in addition to kinematic information for advanced motion *** this study,we proposed a method to estimate GRF and ground reaction moment(GRM)from electromyography(EMG)in combination with and without an inertial measurement unit(IMU)sensor using a machine learning technique.A long short-term memory network,which is suitable for processing long time-span data,was constructed with EMG and IMU as input data to estimate GRF during posture control and stepping *** results demonstrate that the proposed method can provide the GRF estimation with a root mean square error(RMSE)of 8.22±0.97%(mean±SE)for the posture control motion and 11.17±2.16%(mean±SE)for the stepping *** could confirm that EMG input is essential especially when we need to predict both GRF and GRM with limited numbers of sensors attached under *** addition,we developed a GRF visualization system integrated with ongoing motion in a Unity *** system enabled the visualization of the GRF vector in 3-dimensional space and provides predictive motion direction based on the estimated GRF,which can be useful for human motion prediction with portable sensors.

关键词： technique. prediction attached

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