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Will the increase of medical equipment affect medical expenditure? Empirical evidence from a quasi-experiment in China.

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School of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China.

Background: Many studies have shown that using new technologies and medical equipment contributes to increasing health expenditure. Relatively less empirical studies have measured the impact of medical equipment on rising medical costs in China. Against this backdrop, we aim to examine whether the large-scale medical equipment deployment explains the increase in health expenditure.

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Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model.

Sci Rep

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Key Laboratory of Karst Georesources and Environment, College of Resources and Environmental Engineering, Guizhou University, Ministry of Education, Guizhou University, Guiyang, 550025, China.

Mine water influx is a significant geological hazard during mine development, influenced by various factors such as geological conditions, hydrology, climate, and mining techniques. This phenomenon is characterized by non-linearity and high complexity, leading to frequent water accidents in coal mines. These accidents not only impact coal production quality but also jeopardize the safety of mine staff.

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The potential energy curves, dipole moments and transition dipole moments of the 14 Λ-S states and 30 Ω states of TlBr cation were performed using the multi-reference configuration interaction method. The Davidson correction and spin-orbit coupling effects were also considered. The spectroscopic properties and transition properties of TlBr cation were reported at the first time.

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Social withdrawal is a widespread phenomenon among adolescents, presenting significant challenges in understanding its aetiology and dynamics. This study, drawing on data from two cross-sectional surveys conducted in 2019 and 2022 on students in public upper secondary schools, investigates the trend of self-isolation among Italian adolescents before and after the COVID-19 pandemic. The two nationally representative samples comprise 3273 and 4288 participants, respectively, with 46.

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