Background
Parent-child facial resemblance, as an important cue of paternal uncertainty, may impact fathers’ parenting behaviors and further affect children’s academic performance. However, mothers are almost 100% confident of the blood relationship with their child and care less about the facial resemblance cues.
Methods
To test these hypotheses, the present study recruited 122 junior high school students and measured the perceived facial resemblance with their parents, the parents’ parenting style, academic performance, and demographic variables.
Results
The results showed that the perceived father-child facial resemblance rather than the mother-child facial resemblance significantly influenced adolescents’ academic performance. Further, fathers’ caring parenting style mediated the relationship between the perceived father-child facial resemblance and academic performance.
Conclusion
These findings not only supported the paternal uncertainty hypothesis but also extended the parental investment theory.
Background
Assessment of colorectal cancer (CRC) lymph node metastasis (LNM) is critical to the decision of surgery, prognosis, and therapy strategy. In this study, we aimed to develop and validate a multiple tumor marker nomogram for predicting LNM in CRC patients.
Methods
A total of 674 patients who met the inclusion criteria were collected and randomly divided into primary cohort and internal test cohort at a ratio of 7:3. An external test cohort enrolled 178 CRC patients from the West China Hospital. Clinicopathologic variables were obtained from electronic medical records. The least absolute shrinkage and selection operator (LASSO) and interquartile range analysis were carried out for variable dimensionality reduction and feature selection. Multivariate logistic regression analysis was conducted to develop predictive models of LNM. The performance of the established models was evaluated by the receiver operating characteristic (ROC) curve, calibration belt, and clinical usefulness.
Results
Based on minimum criteria, 18 potential features were reduced to six predictors by LASSO and interquartile range in the primary cohort. The model demonstrated good discrimination and ROC curve (AUC = 0.721 in the internal test cohort, AUC = 0.758 in the external test cohort) in LNM assessment. Good calibration was shown for the probability of CRC LNM in the internal and external test cohorts. Decision curve analysis illustrated that multi-tumor markers nomogram was clinically useful.
Conclusions
The study proposed a reliable nomogram that could be efficiently and conveniently utilized to facilitate the assessment of individually-tailored LNM in patients with CRC, complementing imaging and biopsy tests.
In the power system, the reactive power causes low power factor and power loss. The reactive power compensation device can ensure normal and stable operation of the power system. The traditional reactive power compensation device is difficult to meet the needs of high power factor and low power loss. Therefore, a dynamic reactive power compensation device has been presented by authors to achieve high power factor and low power loss. Based on the previous research results, the dynamic reactive power compensation device based on variable reactance converter is simulated. The following works have been done in the study: topology of dynamic reactive power compensation device, simulation model of dynamic reactive power compensation device, and simulation. The simulation results show that the dynamic reactive power compensation device based on variable reactance converter improves the power factor of power system and saves energy. The research of this paper has laid a theoretical foundation for the dynamic reactive power compensation device in practical applications.
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