Variation of Internal Tides on the Continental Slope of the Southeastern East China Sea

The semidiurnal internal tides (ITs) on the continental slope of the southeastern East China Sea (ECS) exhibited abrupt enhancement in November of 2017. This enhancement resulted from the intensification of the coherent semidiurnal ITs. Coherent and incoherent semidiurnal ITs had a comparative energy contribution in October; however, coherent semidiurnal ITs dominated with a variance contribution of 90% in November. The variance contribution of vertical modes of the semidiurnal ITs varied between October and November, and the mode with most variance contribution changed from the second mode to the first mode. Altimeter data and the observed background currents indicated that the Kuroshio mainstream meandered and abruptly intruded into the ECS in November. The upper layer background currents were significantly related to the kinetic energy of the semidiurnal ITs, and the correlation coefficient between them reached 0.81. The frequent occurrences of the Kuroshio intrusion have suggested that the ITs in the ECS are susceptible to the modulation of the Kuroshio current. Numerical modeling and predication of ITs should consider the meander of the Kuroshio mainstream.

Prediction of Changeable Eddy Structures around Luzon Strait Using an Artificial Neural Network Model

Mesoscale eddies occur frequently in the Luzon Strait and its adjacent area, and accurate prediction of eddy structure changes is of great significance. In recent years, artificial neural network (ANN) has been widely applied in the study of physical oceanography with the continuous accumulation of satellite remote sensing data. This study adopted an ANN approach to predict the evolution of eddies around the Luzon Strait, based on 25 years of sea level anomaly (SLA) data, 85% of which are used for training and the remaining 15% are reserved for testing. The original SLA data were firstly decomposed into spatial modes (EOFs) and time-dependent principal components (PCs) by the empirical orthogonal function (EOF) analysis. In order to calculate faster and save costs, only the first 35 PCs were selected as predictors, whereas their variance contribution rate reached 96%. The results of predicted reconstruction indicated that the neural network-based model can reliably predict eddy structure evaluations for about 15 days. Importantly, the position and variation of four typical eddy events were reconstructed, and included a cyclone eddy event, an eddy shedding event, an anticyclone eddy event, and an abnormal anticyclone eddy event.

The term structure of economic management rate under the parameter analysis of the estimation model based on common differential equation

To reflect the country's economic growth, inflation and the implementation of monetary policies. Based on the monthly data of national debt yield from January 2015 to December 2019, these data are divided into 1 year to 30 years according to the maturity period, and the principal component analysis of the term structure of interest rate from 2012 to 2017 shows that the factors affecting the change of term structure of interest rate include level factor, skew factor and curve factor. The variance contribution rates of these factors to the variation of interest rate term structure curve are 82.2002%, 16.9948% and 0.6283% respectively. The horizontal factor represents the position of the term structure of interest rate, the skew factor represents the degree of skew of the term structure of interest rate, and the curve factor determines the interest rate.

The regional features of precipitation variation trends over Sichuan in China by the ESMD method

Based on a precipitation time series from 49 meteorological stations in Sichuan Province during the period from 1961 to 2011, the multi-scale characteristics of precipitation variability are analyzed using the extreme-point symmetric mode decomposition method (ESMD). Regional differences in variation trends and change-points were also preliminarily discussed. The results indicated that in the last 50+ years, the overall precipitation in Sichuan Province has exhibited a significant non-linear downward trend, and its changes have clearly exhibited an inter-annual scale (quasi-3 and quasi-8-year) and interdecadal scale (quasi-13-year). The variance contribution rates of each component demonstrated that the inter-annual change had a strong influence on the overall precipitation change in Sichuan Province, and the reconstructed inter-annual variation trend could describe the fluctuation state of the original precipitation during the study period. The reconstructed interdecadal variability revealed that the climate mode in Sichuan Province had divided into three distinct variation periods with 1973 and 1998 as the boundaries. Furthermore, there were regional differences in the non-linear changes and change-points of precipitation. In addition, in order to study the relations between the changing more or less of rising or decrease and meteorological station’s geographical position (latitude, longitude and elevation) i.e., the Cokriging interpolation technique is applied directly to precipitation variation trend components through ESMD decomposition. At the same time, the results also suggested that the ESMD method can effectively reveal variations in long-term precipitation sequences at different time scales and can be used for the complex diagnosis of non-linear and non-stationary signal changes.

Physiological Response Characteristics of Moso Bamboo under Drought Stress Based on Calcium Signal

This study aimed to evaluate the dominant factors of physiological responses of Phyllostachys edulis (Carrière) J. Houz to drought stress. The calcium (Ca2+) fluxes in root tips of P. edulis treated by polyethylene glycol were monitored via non-invasive micro-test technology. The physiological indexes of P. edulis under different soil moisture contents were determined. The regression model was built by curve fitting with the main physiological factors of P. edulis using PCA analysis. The variance contribution rates of the first three principal components of the physiological indicators were 75.0%, 13.3% and 5.0%. Calcium signal sensing protein kinase (CDPK) contents accounted for a larger contribution to the load of the first principal component. The contents of calcium signal sensor protein calmodulin (CaM) and calcium-dependent protein kinase (CDPK) increased. Meanwhile, drought induced strong Ca2+ influxes in root tips. Additionally, as the soil water content decreased, the contents of malondialdehyde (MDA), proline, betaine, jasmonic acid (JA) and abscisic acid (ABA) increased, and auxin (IAA) decreased in P. edulis leaves, strongly correlating with the CaM and CDPK contents. The calcium signal of P. edulis is activated and cascades plant physiological responses to drought stress. This study will provide physiological evidence for research regarding mechanisms of drought resistance of P. edulis.

Psychometric Performance of Learning Burnout Scale for Undergraduates (LBSU) in Guangdong

To analyze the psychometric performance of Learning Burnout Scale for Undergraduates (LBSU) in Guangdong province． LBSU was used to conduct the survey involing 1628 undergraduates who were selcted with stratified random sampling from 7 colleges in Guangdong province. Cronbach's α coefficient and split-half reliability were used to analyze the internal consistency of the questionnaire．Convergent validity, discriminant validity and factor analysis were used to evaluate its structural validity. Celling and floor effect were used to analyze its sensitivity. Cronbach's α coefficient of the total questionniar was 0.89 and cronbach's α coefficient of 3 dimensions were 0.73-0.78, which met with the requirements of the group comparison. Spearman - Brown split-half coefficient of the total questionniar and 3 dimensions were 0.90, 0.85, 0.81, 0.79, respectively, which also met with the requirements of the group comparison. Both the calibration success rate of convergent validity and discriminant validity of each dimension were 100%. Four components obtained from 20 items which cumulative variance contribution rate was 51.924%. The total score and score of each dimension were all normal distribution, without any floor or celling effect in dimensions. The psychometric performance of LBSU for assessing undergraduates in Guangdong province is valid and reliable．

Psychometric Performance of Resilience Scale for Chinese Adolescent (RSCA) for Undergraduates in Guangdong, China

To analyze the psychometric performance of Resilience Scale for Chinese Adolescent (RSCA) for undergraduates in Guangdong. Stratified random sampling method was used to select 1628 undergraduates from 7 colleges in Guangdong. RSCA and Academic Burnout Scale for Chinese Undergraduates (ABSCU) were used to investigate them. Cronbach's αcoefficient and split-half reliability were used to analyze the internal consistency of RSCA. Convergent validity, discriminant validity, factor analysis and criterion validity were used to evaluate its validity. Celling and floor effect were used to analyze its sensitivity. Cronbach's α coefficient of the total questionniar, 2 domains and 5 factors were0.72-0.86, which met the requirements of the group comparison. Spearman-Brown split-half coefficient of the total questionniar, 2 domains and 5 factors were 0.71-0.89. The calibration success rate of convergent and discriminant validity of 5 factors were all 100%. The calibration success rate of convergent and discriminant validity of 2 domains were all above 86.7%. Five principal components obtained from 27 items, witha cumulative variance contribution rate of48.79% and two principal components obtained from 5 factors, withacumulative variance contribution rateof 65.23%,which basically metthe theoretical conception of RSCA. The total score of RSCA significantly predicted the total score of ABSCU (Radj2=0.158, P<0.001). The total score, scores of 2 domains and 5 factors of RSCA were all normal distribution, without any celling or floor effect. The psychometric performance of RSCA for undergraduates in Guangdong were valid and reliable.

Temporal and spatial distributions of precipitation on the Huang-Huai-Hai Plain during 1960–2019, China

The Huang-Huai-Hai Plain is an important commercial grain production base in China. Understanding the temporal and spatial variations in precipitation can help prevent drought and flood disasters and ensure food security. Based on the precipitation data for the Huang-Huai-Hai Plain from 1960 to 2019, this study analysed the spatiotemporal distribution of total precipitation at different time scales using the Mann–Kendall test, the wavelet analysis, the empirical orthogonal function (EOF), and the centre-of-gravity model. The results were as follows: (1) The winter precipitation showed a significant upward trend on the Huang-Huai-Hai Plain, while other seasonal trends were not significant. (2) The precipitation on the Huang-Huai-Hai Plain shows a zonal decreasing distribution from southeast to northwest. (3) The application of the EOF method revealed the temporal and spatial distribution characteristics of the precipitation field. The cumulative variance contribution rate of the first two eigenvectors reached 51.5%, revealing two typical distribution fields, namely a ‘global pattern’ and a ‘north-south pattern’. The ‘global pattern’ is the decisive mode, indicating that precipitation on the Huang-Huai-Hai Plain is affected by large-scale weather systems. (4) The annual precipitation barycentres on the Huang-Huai-Hai Plain were located in Jining city and Taian city, Shandong Province, and the spatial distribution pattern was north-south. The annual precipitation barycentres tended to move southwest, but the trend was not obvious. The annual precipitation barycentre is expected to continue to shift to the north in 2020.

Developing a new individual earthquake resilience questionnaire: A reliability and validity test

Earthquakes pose serious threats to the world. Good individual resilience can cope with disaster well, but there were few appropriate assessment tools. The purpose of this study was to develop a new individual earthquake resilience questionnaire and test its reliability and validity. First, we built the framework of the individual earthquake resilience questionnaire based on expert interviews. Then, we established the initial version of questionnaire and used the Delphi method and item selection to modify it by qualitative and quantitative methods. Finally, we built the final version of questionnaire (contained 4 dimensions and 17 items) and tested the reliability and validity. The Cronbach’s α values of the four dimensions were between 0.79 and 0.91, the split-half reliabilities were between 0.85 and 0.93, and the test-retest reliabilities were between 0.72 and 0.80. The item content validity indexes were between 0.87–1, and the average questionnaire content validity index was 0.94. The correlation coefficients between each item and dimension with the total questionnaire ranged from 0.79–0.90 and 0.66–0.79, respectively. We used exploratory factor analysis to identify four common factors with a cumulative variance contribution rate of 74.97%. The questionnaire is a valid and reliable tool to measure individual resilience in the context of earthquake disasters.

Psychometric Performance of Prosocial Tendencies Measure for Undergraduates in Guangdong Province

Objective: To analyze the psychometric performance of Prosocial Tendencies Measure (PTM) for undergraduates in Guangdong province. Methods: Stratified random sampling method was used to select 1109 undergraduates from 10 colleges in Guangdong province.PTM was used to investigate them. Cronbach's α coefficient and split-half reliability were used to analyze the internal consistency of the questionnaire.Convergent validity, discriminant validity and factor analysis were used to evaluate its structural validity. Celling and floor effect were used to analyze its sensitivity. Results: Cronbach's α coefficient of the total questionniar was 0.94 and cronbach's α coefficient of 6 dimensions were 0.82~0.87, which met with the requirements of the group comparison. Spearman - Brown split-half coefficient of the total questionniar was 0.95, and the split half reliability of 6 dimensions were 0.83~0.88. The calibration success rate of convergent validity and discriminant validity of the 6 dimensions were all 100%. One component obtained from 23 items which cumulative variance contribution rate was 82.31%. The total score and scores of 6 dimensions were all positive skew distribution, with floor effect in 6 dimensions. Conclusions: The psychometric properties of PTM for undergraduates in Guangdong was valid and reliable.