The relationship between religious orientation and suicidality can be more complex in samples of low religious rate. The present study was conducted in China, one of the least religious countries, with the purpose of exploring different aspects of religious orientation and their relationships to suicidality. Among a university sample of 2074 respondents, 122 respondents reported being religious and responded to our measures of religious orientation and suicidality. Extrinsic religious orientation, while being distinct from intrinsic religious orientation, could be subdivided into personally-oriented and socially-oriented dimensions to predict suicidality in our sample. Results from regression analysis showed that respondents with higher intrinsic religious orientation and lower personally-oriented extrinsic religious orientation are more likely to have lower suicidality. These findings support that intrinsic orientation is embodied with positive outcomes whereas extrinsic orientation is embodied with negative outcomes. It is noteworthy that socially-oriented extrinsic religious orientation did not predict suicidality in our sample, as it was speculated that the role of socially-oriented extrinsic religious orientation cannot function when there are few religious people to socialize with in the community.

This study was designed to assess the factor structure, internal consistency reliability, and preliminary psychometric properties of the Chinese version of the Future Disposition Inventory-24 (FDI-24) in a large sample of Chinese university students. We translated the English version of the Future Disposition Inventory-24 (FDI-24) into Chinese and examined its factor structure, estimates of internal consistency reliability, and psychometric properties in a representative sample of university students. In particular, students (N = 2,074) from two universities in Shandong Province in China were identified using the multi-stage stratified sampling method. In addition to the FDI-24, we collected preliminary data using self-report instruments that included the Beck Hopelessness Scale (BHS) and a general sociodemographic information questionnaire. The results of the internal consistency reliability estimates were adequate regarding the scores on the three FDI-24 subscales: Cronbach’s alpha = .89–.97, Omega total = .85–.96, Revelle’s Omega total = .88–.96, the greatest lower bound (GLB) = .89–.96 and Coefficient H = .86–.94. Bivariate correlation analyses showed evidence for criterion and discriminant validity. The 3-factor oblique-Geomin-rotation solution accounted for 62.92% of the total variance in the exploratory factor analysis (EFA). The exploratory structural equation modeling (ESEM) result showed that the 3-factor model provided adequate fit statistics for the sample data: the robust comparative fit index (R-CFI) was .959, robust Tucker Lewis index (R-TLI) was .946 and robust root mean square error of approximation (R-RMSEA) was .090. The FDI-24 has a satisfactory factor structure, reliability estimates, and satisfactory evidence of concurrent validity estimates for students with different demographic and cultural backgrounds. The FDI-24 holds promise for use in future investigations with Chinese students.

Stabilizing orthogonal phase bias is highly required in Mach-Zehnder interferometer (MZI) to achieve sufficiently high sensitivity and long-term stability. To this end, we demonstrated a stabilized MZI using dual-wavelength feedback and a geometric phase shifter (GPS). The two beams at the wavelengths of 632.8 nm and 532 nm, respectively, propagate almost in the common path in the MZI, so that the beams have the same sensitivity to ambient disturbance. The beam at 632.8 nm is used to sense the displacement, and the other one at 532 nm is used for feedback and orthogonal phase bias stabilization. The phase shift error of the two separate wavelengths can be compensated by a GPS consisting of a rotating half waveplate sandwiched between two static quarter waveplates. The results of the proof-of-concept experiment showed that the phase shift error between 632.8 nm and 532 nm was reduced to within (-0.08π, 0.09π) by the GPS, and can be further reduced by two orders of magnitude if more appropriate wavelengths or waveplates were selected. The stabilized MZI showed a displacement resolution of 5 nm, and was proved to be effective in suppressing the low-frequency noise less than 10 Hz.

The Yellow River Basin (YRB), a pivotal ecoregion in China, has long been plagued by a range of ecological problems, including water loss, soil erosion, and ecological degradation. Despite previous reports on the ecological environment of YRB, systematic studies on the multi-factor driving mechanism and the coupling between the ecological and hydrological systems remain scarce. In this study, with multi-source remote-sensing imagery and measured hydrological data, the random forest (RF) model and the geographical detector (GD) technique were employed to quantify the dynamic spatiotemporal changes in the ecological environment of YRB in 2000–2024 and identify the driving factors. The variables analyzed in this study included gross primary productivity (GPP), fractional vegetation cover (FVC), land use and cover change (LUCC), meteorological statistics, as well as runoff and sediment data measured at hydrological stations in YRB. The main findings are as follows: first, the GPP and FVC increased significantly by 37.9% and 18.0%, respectively, in YRB in 2000–2024; second, LUCC was the strongest driver of spatiotemporal changes in the ecological environment of YRB; third, precipitation and runoff contributed positively to vegetation growth, whereas the sediment played a contrary role, and the response of ecological variables to the hydrological processes exhibited a time lag of 1–2 years. This study is expected to provide scientific insights into ecological conservation and water resources management in YRB, and offer a decision-making basis for the design of sustainability policies and eco-restoration initiatives.