Subjects: Psychology >> Applied Psychology submitted time 2024-06-06
Abstract： In recent years, mindfulness interventions have been applied across various fields and have achieved significant efficacy. With the widespread adoption of mobile Internet, online mindfulness interventions are flourishing, thus holding tremendous potential. However, a prominent issue is the generally low adherence of participants in such online mindfulness interventions. Concurrently, previous studies have demonstrated that poetry is also regarded as an important supplement to psychotherapy and mindfulness intervention therapy. Yet, no research has been conducted on the integration of Chinese classical poetry and mindfulness interventions—a topic that warrants further exploration. Moreover, Chinese classical poetry possesses distinct Chinese characteristics and is a highly appreciated literary art form among the local population. Therefore, based on the above propositions, this study considers the feasibility of integrating Chinese classical poetry into mindfulness intervention and whether it can enhance participants’ adherence.
In Study 1, a 49-day online self-help mindfulness intervention incorporating Chinese classical poetry was developed based on Mindfulness Intervention for Emotional Distress (MIED) and poetry therapy. A total of 54 participants were recruited online who completed the pre- and postintervention assessments, including measures of mindfulness, perceived stress, and general well-being. The participants were required to answer additional questions regarding the feasibility of the intervention within one week postintervention. Then, the effectiveness of the intervention was analyzed using paired samples t-tests, whereas its feasibility was evaluated across five dimensions: Acceptability, Demand, Implementation, Practicality, and Limited-efficacy testing. In Study 2, 258 participants were recruited online and randomly assigned to Group A or Group B. Group A attended a mindfulness intervention program that integrated Chinese classical poetry, while Group B attended the same program without poetry. In the end, a total of 245 participants joined the study (118 in Group A and 127 in Group B). All participants were required to complete pre-, mid-, and postintervention assessments measuring mindfulness, perceived stress, and general well-being levels. Furthermore, the intervention’s effectiveness was examined using repeated measures analysis of variance (ANOVA), whereas the impact of the presence or absence of Chinese classical poetry on participants’ adherence was analyzed using chi-square tests.
The results confirmed the feasibility of the developed online self-help mindfulness intervention integrating Chinese classical poetry in terms of Acceptability, Demand, Implementation, Practicality and Limited-efficacy testing, with participants perceiving the intervention as effective. The results of Study 2 demonstrated that both programs with and without poetry significantly improved participants’ mindfulness, perceived stress, and general well-being levels. However, the former significantly enhanced participants’ adherence. In addition, compared with the overall adherence levels of current online mindfulness interventions (ranging from 35% to 92%), the participants’ adherence to the proposed online intervention with Chinese classical poetry (84.75%) is relatively high. Finally, the study also found that integrating poetry into mindfulness interventions enhanced the majority of Chinese individuals’ engagement and completion rates, regardless of their personal preferences for Chinese classical poetry at baseline.
This study represents the first integration of Chinese classical poetry into mindfulness intervention, resulting in a program enriched by Chinese cultural elements. The program facilitates the combination of outstanding traditional Chinese culture with modern psychological theories and practices, fostering their creative transformation and innovative development. Furthermore, the purely online self-help program employed in this study reduces reliance on therapists while simultaneously enhancing participants’ adherence. At the same time, this study provides more possibilities for the widespread application of mindfulness intervention and provides individuals with more choices for mental health treatment. Overall, these contributions hold significant practical significance and social value.
Subjects: Mechanics >> Applied Mechanics submitted time 2023-03-20 Cooperative journals: 《应用力学学报》
Abstract： Based on the three-dimensional basic equations of elasticity in cylindrical coordinates , the statespace method was used to solve axisymmetric problem of thick single and laminated cylindrical shells withtwo clamped ends.To satisfy strictly the boundary conditions of the clamped ends , boundary displacementfunctions introduced into the state equations as state variables , the nonhomogeneous state equations weretransformed into the homogeneous state equations by employing the dimensional expanding method , andvariable coefficient state matrixes were changed into constant coefficient matrixes with the approximatelaminate technique by dividing the layer into sub-layers.The three-dimensional basic equations of elasticityand all the boundary conditions are satisfied strictly , the exact three-dimensional analytical solutions are obtained.The results of two examples show that the present solutions obtained have high precision by com-paring with FEM (Finite Element Method) solutions , and have good constringency with the number of se-ries terms and sub-layers. In addition , the influences of thickness-radius ratio and span-radius ratio on thedistributions of the displacements and stresses of cylindrical thick shells along the radial and axial direc-tions are analyzed.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-19 Cooperative journals: 《计算机应用研究》
Abstract： In FANET, the high-speed movement of nodes will result in frequent updates of the network topology, which makes network management more complicated. Clustering can increase network capacity and reuse spatial resources, which is an effective way to optimize network management. In the large-scale and high-speed mobile environment, this paper proposes a multi-parameter weighted clustering algorithm. This algorithm introduces the clustering index in the maximum speed similarity algorithm into the weighted clustering algorithm, and improves the link retention, node degree difference and node residual energy to select the network node with largest weight as the cluster head by considering these four parameters synthetically. The simulation results show that the clustering algorithm can reduce the number of clusters and the switching rate between clusters, which improves the stability of clustering, and can extend the minimum survival time of nodes, which improves the overall endurance of the network.
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