Table1_Effectiveness and safety of Danshen injections in treatment of cardiac failure: a network meta-analysis.DOCX

Objective: The purpose of this network meta-analysis (NMA) was to compare the therapeutic effects of various Danshen (Salvia miltiorrhiza Bunge [Lamiaceae; Salviae miltiorrhizae radix et rhizoma]) injections on heart failure to determine the optimal Danshen injection combined with conventional treatment.Methods: 8 databases were searched from the inception of these databases to May 2023 to collect randomized controlled trials (RCTs) on the effectiveness and safety of Danshen injections in the treatment of heart failure. This NMA was performed using Stata 16.0 software and R 4.1.3 software.Results: A total of 24 RCTs involving 2,186 subjects were included. The intervention group received Danshen injections plus conventional treatment, involving the following 7 Danshen injections. The results of the NMA showed that Compound Danshen injection + Common (SUCRA: 79.6%) and Sodium tanshinone ⅡA sulfonate injection + Common (SUCRA: 78.0%) exhibited higher total effective rates. Sodium tanshinone ⅡA sulfonate injection + Common (SUCRA: 94.3%) and Danshen injection + Common (SUCRA: 68.2%) were superior to other traditional Chinese medicines in improving left ventricular ejection fraction (LVEF). Danshen injection + Common (SUCRA: 99.9%) and Shenxiong glucose injection + Common (SUCRA: 77.2%) were the most effective in reducing brain natriuretic peptide (BNP). In addition, compared with conventional treatment, all Danshen injections did not increase the risk of adverse reactions.Conclusion: Current evidence shows that all seven Danshen injections are effective for heart failure. Due to the limited quantity and quality of the included studies, our findings need to be verified by more high-quality studies.</p

The structure of a LSTM cell.

The structure of a LSTM cell.</p

S1 Data -

(XLSX)</p

The sensitivity between LSTM and GRU model to data size.

The sensitivity between LSTM and GRU model to data size.</p

Correlation of runoff prediction variables.

Correlation of runoff prediction variables.</p

Fig 7 -

Runoff prediction results of BP, LSTM, and GRU model.</p

Table1_The Association Between Parents’ Growth Mindset and Children’s Persistence and Academic Skills.DOCX

Parents’ educational beliefs are thought to guide children’s early development in school. The present study explored the association between parent’s growth mindset and elementary school-aged children’s self-reported persistence, as well as teacher-reported reading and math skills in 102 dyads. Findings showed that children self-reported greater persistence when their parents held more growth mindset. Teachers also rated students as more capable readers when their parents endorsed a growth, rather than fixed, mindset. Additional analysis indicated that although the effect of parents’ growth mindset on children’s reading skills became non-significant once SES was controlled, the positive association between parents’ mindset and children’s persistence was unaffected by SES. Our study provides evidence about the intergenerational association of motivational tendencies at an early age, even when children may not be able to develop a coherent system of motivational beliefs of their own.</p

The abrupt characteristics of runoff series.

The abrupt characteristics of runoff series.</p

The structure of a GRU cell.

The structure of a GRU cell.</p

Uncertainty analysis results of different models.

Uncertainty analysis results of different models.</p