Due to the current COVID-19 pandemic, colleges and universities have implemented network teaching. E-learning engagement is the most important concern of educators and parents because this will directly affect student academic performance. Hence, this study focuses on students’ perceived family support and their e-learning engagement and analyzes the effects of e-learning normative consciousness and behaviors and self-efficacy on the relationship between family support and e-learning engagement in college students. Prior to this study, the relationship between these variables was unknown. Four structural equation models revealed the multiple mediating roles of e-learning normative consciousness and behaviors and self-efficacy in the relationship between family support and e-learning engagement. A total of 1,317 college students (mean age=19.51; 52.2% freshman) voluntarily participated in our study. The results showed that e-learning normative consciousness and behaviors and self-efficacy played significant and mediating roles between students’ perceived family support and e-learning engagement. Specifically, these two individual variables fully mediated the relationship between students’ perceived family support and e-learning engagement. The multiple mediation model showed that family members can increase family support of their children by creating a household environment conducive to learning, displaying positive emotions, demonstrating the capability to assist their children, advocating the significance of learning normative consciousness and behaviors, and encouraging dedicated and efficient learning. The findings complement and extend the understanding of factors influencing student e-learning engagement.
In order to explore the associations between trace elements in dietary intake and the other three biological media (blood, urine, or feces) and inter-element interactions among the latter, we simultaneously collected 72-h diet duplicates, whole blood, and 72-h urine and feces from 120 free-living healthy males in China. Correlations among the toxic (cadmium [Cd], lead [Pb]), and nutritionally essential (zinc [Zn], copper [Cu], iron [Fe], manganese [Mn], selenium [Se], iodine [I]) elements were evaluated using Spearman rank correlation analysis based on analytical data determined by inductively coupled plasma-mass spectrometry. Dietary Cd intakes were highly correlated with the fecal Cd and blood Cd levels. Inverse correlations were found for Fe-Cd and Fe-Pb in both diet versus blood and diet versus feces. Cd-Zn and Cd-Se were significantly directly correlated in the urine and feces. Cd-Se and Pb-Se were negatively correlated in blood. In addition, there existed an extremely significant association between urinary Se and urinary I. Moreover, the other two highly direct correlations were found for Se-Fe and for I-Fe in urine. Improved knowledge regarding their mutual associations is considered to be of fundamental importance to understand more the complex interrelationships in trace element metabolism.
The effect of microRNA (miRNA)-19a on gastrointestinal motility in rats with functional dyspepsia was investigated. Fifty adult Sprague-Dawley (SD) rats were randomly divided into 5 groups, 10 rats in each group, one group as the normal group, one group as the model group, and the other three groups were divided into negative control group, miRNA-19a mimic group and miRNA-19a inhibitor group. All rats were intraperitoneally injected with miRNA-19a scramble, miRNA-19a mimic and miRNA-19a inhibitor. Except the normal group, the functional dyspepsia model rat was established by proper clipping tail stimulation. The gastric emptying rate, intestinal propulsive ratio, serum motilin and vasoactive intestinal peptide of rats in each group were measured. The level of miRNA-19a expression in each group was detected by reverse transcription-polymerase chain reaction (RT-PCR). The gastric emptying rate, intestinal propulsive ratio and serum motilin in model group were significantly lower than those in normal group, and vasoactive intestinal peptide was higher in model group than that in normal group (P<0.05). The expression of miRNA-19a in model group was significantly higher than that in normal group (P<0.05). After intraperitoneal injection of miRNA-19a mimic, the expression of miRNA-19a was increased; gastric emptying rate, intestinal propulsive ratio and serum motilin were significantly reduced in model group, and vasoactive intestinal peptide was increased (P<0.05). After intraperitoneal injection of miRNA-19a inhibitor, the expression of miRNA-19a was remarkably decreased; gastric emptying rate, intestinal propulsive ratio and serum motilin were further increased in model group, and vasoactive intestinal peptide was decreased (P<0.05). In conclusion, the expression of miRNA-19a in rats with functional dyspepsia is higher than that in normal rats, and the reduced miRNA-19a expression can ameliorate the gastrointestinal motility in rats with functional dyspepsia.
Bearings are among the most widely used core components in mechanical equipment. Their failure creates the potential for serious accidents and economic losses. Vibration signature analyses are the most common approach to assess the viability of bearings due to its ease of measurement and high correlation with structural dynamics. However, the collected vibration signals of rolling bearings are usually nonstationary and are inevitably accompanied by noise interference. This makes it difficult to extract the feature frequency for the failed bearing and affects the diagnosis accuracy. The majorization-minimization-based total variation (TV-MM) denoising algorithm effectively removes the noise interference from the signal and highlights the related feature information. The value of its main parameter λ determines the quality of the denoising effect. However, manually selecting parameters requires professional experience in a process that it is time-consuming and laborious, while the use of genetic algorithms is cumbersome. Therefore, an improved particle swarm algorithm (IPSO) is used to find the optimal solution of λ. The IPSO utilises the mutation concept in genetic algorithms to reinitialise the particles with a certain probability after each update. In addition, the empirical wavelet transform (EWT) is an adaptive signal processing method suitable for processing nonlinear and nonstationary signals. Therefore, this paper presents an ensemble analysis method that combines the IPSO, TV-MM, and EWT. First, IPSO is used to optimise the denoising parameter λ. The TV-MM under this parameter effectively removes the background noise interference and improves the accuracy of the subsequent modal decomposition. Then, the EWT is used for the adaptive division to produce a set of sequences. Finally, Hilbert envelope demodulation is performed on each component to realise fault diagnosis. The results from simulations and signals received from defective bearings with outer race fault, inner race fault, and rolling element fault demonstrate the effectiveness of the proposed method for fault diagnosis of rolling bearings.
Background The prevalence of COVID-19 highlights the shortage of human medical resources, and improving medical students' professional identity is crucial to improving this situation. The sources of confidence in overcoming COVID-19 and medical students' attention to COVID-19 were significant factors affecting their professional identity. However, no study has investigated the mediating role of medical students' attention to COVID-19 in their relationship. This study investigates the relationship between these three factors in three medical university students in Hunan Province. Methods A cross-sectional survey study that used convenience sampling method was conducted on 2775 medical students from three universities in the Hunan Province of China from March 15 to April 19, 2020. An intermediary model was established to evaluate the role of medical students' attention to COVID-19 in the sources of confidence in overcoming COVID-19 and the improvement of medical students' professional identity. Results The sources of confidence in overcoming COVID-19, medical students' attention to national crisis events, and the improvement of medical students' professional identity was positively associated with each other (β = 0.328 ~ 0.464, P < 0.001). The mediating effect accounted for 23.3% of the total effect and 30.4% of the direct effect. Medical students' attention to COVID-19 partially mediates the relationship between the sources of confidence to overcome COVID-19 and the improvement of medical students' professional identity. Conclusions This study found that the sources of confidence in overcoming COVID-19 and medical students' attention to national crisis events have a significant predictive effect on the improvement of medical students' professional identity. Medical students' attention to COVID-19 mediated the relationship between the sources of confidence to overcome COVID-19 and the improvement of medical students' professional identity. The findings have emphasized the theoretical and practical significance of professional identity education for medical students.
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