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Objectives There is evidence to suggest that only 2–4 weeks of mindfulness-based interventions (MBIs) can already alleviate emotional stress. The current studies sought to examine whether experiential avoidance mediated the effects of MBIs on emotional distress during an early stage of the intervention. Methods: Chinese participants with high emotional distress were recruited. Study 1 included 324 participants, randomly assigned to an online MBI (N = 171) or a control group (N = 153). Experiential avoidance and general emotional distress were measured at baseline and after the 3rd week of the intervention. Study 2 included 158 participants, randomly assigned to an online MBI (N = 79) or a control group (N = 79). Experiential avoidance and emotional distress were measured at baseline and weekly in the first three weeks. Results: Compared to the control group, experiential avoidance and emotional distress were significantly improved in the MBI group during the first three weeks of the intervention (Cohen's d = 0.22–0.63). Moreover, changes in experiential avoidance mediated the effects of MBI on emotional distress in the early stage in both contemporary and lagged mediation models. Discussion: Experiential avoidance is an important mediator during the early-stage of MBIs for alleviating emotional distress. [ABSTRACT FROM AUTHOR]

The prosperity of the lithium‐ion battery market is inevitably accompanied by the depletion of corresponding resources and the accumulation of spent batteries in a dialectical manner. Spent lithium‐ion batteries are harboring the characteristics of hazardous waste and high‐value resources, so efficient recycling is of great significance. The cathode material is considered as an interesting target for repurposing. Despite some important reviews give commendable emphasis to recycling technologies, there is still a dearth of exploration of recycling mechanisms. This deficiency of awareness highlights the need for further research and development in this area. This review aims to systematically review and thoroughly discuss the reduction reaction mechanism of each method regarding different cathode materials. And systematically digest the selection of reducing agent and the effect of reduction reaction on material regeneration are systematically digested, as well as the impact of the reduction reaction on the regeneration of materials. This review emphasizes the importance of balancing efficiency, economic and environmental benefits in reuse technologies. Finally, the review proposes an outlook on the opportunities and challenges facing the reuse of key materials for next‐generation spent batteries aimed at promoting the green and sustainable development of lithium‐ion batteries, circular economy and ecological balance. [ABSTRACT FROM AUTHOR]

Relational extraction extracts relationships from unstructured text and outputs them in a structured form. In order to improve the extraction accuracy and reduce the dependence on manual annotation, this paper proposes a distant supervision relationship extraction model based on attention mechanism and ontology, attention piecewise convolutional neural networks with ontology restriction (APCNNs+OR). The model is divided into feature engineering extraction module, classifier module and ontology restriction layer. In the classifier module, this paper introduces and improves the instance-level attention mechanism to learn the weight of each sentence in the data bag better, effectively reducing the noise interference introduced by the distant supervision hypothesis and the word information interference between the two entities in the sentence. In the ontology restriction layer, the extraction result is constrained by introducing the domain ontology, which improves the accuracy of the relationship extraction. The experiment results of SemMed and GoldStandard corpus show that the model can effectively reduce the noise interference of the wrong label and has better relation extraction performance than the existing models.