A Meta-Analysis of Pension Models for Patients with Mental Disorders

Objective:To analyze the pension models available for patients with mental disorders and design a more suitable one.Methods:A total of 135 pieces of literature in the database of China National Knowledge Infrastructure(CNKI)published from August 11,1970,to November 17,2022,were classified and analyzed.A knowledge map was drawn and the research context was sorted out from the aspects of temporal distribution,spatial distribution,research hotspots,and evolutionary trend,so as to reveal the research status and development trend in the field of pension for patients with mental disorders.Results:The temporal distribution of the literature in this review involved 20 disciplines,41 papers,2 information articles,40 authors,13 research levels,and 20 research institutions.In terms of research hotspots and evolutionary trends,the keywords“disability pension,”“pension institutions,”and“patients with mental disorders”play a fundamental role in the dynamic evolution and diversification of research topics in the field of the mental disorder pension model.Conclusion:There has been not much research on elderly care for patients with mental disorders,and it is still in the exploratory stage without a sustainable and stable research theme.In recent years,keywords such as“the combination of medical care,”“community care for the elderly,”and“intelligent care”for the elderly have become prominent and the number of related studies has increased,and the research quality in this field has also improved.Intelligent medical care for elderly patients with mental disorders will become the trend of future research.

Probing the interseismic locking state of the Xianshuihe fault based on a viscoelastic deformation model

The interseismic locking state of tectonic faults is essential for regional seismic hazard assessments.However,it is challenging to obtain this parameter reliably due to the weak deformation and complex model configurations.To better probe the fault locking state,more reliable physical models and well-covered observations are required.Here we investigate the locking state of the Xianshuihe fault based on a new-developed viscoelastic deformation model.Meanwhile,we combine GPS velocities from 13 new near-field stations and existing stations in this region to improve the spatial resolution.Similar to the theoretical predictions,our results indicate that the elastic model will clearly overestimate the fault locking depth and seismic moment accumulation rate,and the fault slip rate inferred from the elastic model is slightly lower than that from the viscoelastic model.Relying on the locking distribution inferred from the viscoelastic model,we identify four potential asperities on the Xianshuihe fault.More importantly,we find a clear spatial correlation between the fault locking distribution and the rupture extent of historical earthquakes,which indicates that the fault locking state may control the rupture extent and thus the magnitude of earthquakes.In addition,our results show that the 2022 M6.8 Luding earthquake only ruptured the south part of a potential asperity,and the accumulated energy in the northern unruptured area is equivalent to an Mw6.9 earthquake,where the seismic hazard deserves special attention.

Slip rate of the seismogenic fault of the 2021 Maduo earthquake in western China inferred from GPS observations

Seismic and field observations indicate that the Mw7.4 Maduo earthquake ruptured the Jiangcuo fault,which is a secondary fault~85 km south of the northern boundary of the Bayan Hor block in western China.The kinematic characteristics of the Jiangcuo fault can shed lights on the seismogenic mechanism of this earthquake.Slip rate is one of the key parameters to describe the kinematic features of a fault,which can also provide quantitative evidences for regional seismic hazard assessments.However,due to lack of effective observations,the slip rate of the Jiangcuo fault has not been studied quantitatively.In this study,we consider the interaction between the Jiangcuo fault and the eastern Kunlun fault,and estimate the slip rates of the two faults using the interseismic GPS observations across the seismogenic region.The inferred results show that the slip rates of the Jiangcuo fault and the Tuosuo Lake segment of the Kunlun fault are 1.2±0.8 and 5.4±0.3 mm a^(-1),respectively.Combining the slip rate with the average slip inferred from the coseismic slip model,the earthquake recurrence interval of the Jiangcuo fault is estimated to be 1800700+3700 years(1100–5500 years).Based on the results derived from previous studies,as well as calculations in this study,we infer that the slip rate of the Kunlun fault may decrease gradually from the Tuosuo Lake segment to the eastern tip.The Jiangcuo fault and its adjacent parallel secondary faults may have absorbed the relative motion of blocks together with the Kunlun fault.