Zihan Yu

Resumo: Como uma heresia confucionista, Mozi inicialmente chamou a atenção do missionário inglês Joseph Edkins, em 1858. Posteriormente, o missionário holandês Johann Jakob Maria de Groot traduziu a Doutrina Funerária de Mozi, que tem fortes tonalidades religiosas. Joseph e Groot, que representavam os missionários do protestantismo, interpretaram Mozi em uma variedade de narrativas teológicas. Os dois missionários, que procuravam conexões entre Mozi e o cristianismo, consideravam Mozi um cânone teológico, contendo doutrina cristã. Eles também atacaram o confucionismo, a antítese do cristianismo, apontando que Mozi era um herege, na tradição confuciana. Através dessa imaginação religiosa sobre Mozi, mais missionários e sinologistas se juntaram à tradução de Mozi, e a jornada da transmissão do cânone para o Ocidente começou.

PURPOSE:To report the localization of a gene causing drusen and macular degeneration in a previously undescribed North American family. METHODS:Genetic mapping studies were performed using linkage analysis in a single family with drusen and atrophic macular degeneration. RESULTS:The clinical manifestations in this family ranged from fine macular drusen in asymptomatic middle-aged individuals to atrophic macular lesions in two children and two elderly patients. We mapped the gene to chromosome 6q14 between markers D6S2258 and D6S1644. CONCLUSIONS:In a family with autosomal dominant drusen and atrophic macular degeneration, the gene maps to a 3.2-cM region on chromosome 6q14. This locus appears to be distinct from, but adjacent to, the loci for cone-rod dystrophy 7 (CORD7) and North Carolina macular dystrophy (MCDR1). Future identification of the gene responsible for the disease in this family will provide a better understanding of macular degeneration.

Empathy is essential for human survival and social interaction. Although mindfulness-based interventions have been used to improve empathy in healthy populations, its therapeutic efficacy remains unknown. This study aims to investigate the therapeutic effects of MBIs on empathy in a healthy population and the potential factors affecting the efficacy of MBIs. The literature search focused on PubMed, Embase, Web of Science, Cochrane Library, and CNKI from inception to September 2022. Randomized controlled trials and quasi-experimental studies reporting the effects of using MBIs on empathy in healthy populations were included. A total of 13 studies were included in this review. Results of the meta-analysis showed that MBIs improved empathy in the healthy population compared with that in the control group. Moreover, results of the subgroup analysis showed that intervention dose, format, and types were important factors affecting treatment outcomes. This comprehensive review suggests that MBIs are effective treatment for empathy in healthy population. Future research should markedly focus on large-sample, rigorously designed experiments to explore the long-term effects of MBIs on empathy and to elucidate the underlying mechanisms of MBIs. This study provides a reference for the daily application of MBIs.

In recent years, the path planning of robot has been a hot research direction, and multirobot formation has practical application prospect in our life. This article proposes a hybrid path planning algorithm applied to robot formation. The improved Rapidly Exploring Random Trees algorithm PQ-RRT ∗ with new distance evaluation function is used as a global planning algorithm to generate the initial global path. The determined parent nodes and child nodes are used as the starting points and target points of the local planning algorithm, respectively. The dynamic window approach is used as the local planning algorithm to avoid dynamic obstacles. At the same time, the algorithm restricts the movement of robots inside the formation to avoid internal collisions. The local optimal path is selected by the evaluation function containing the possibility of formation collision. Therefore, multiple mobile robots can quickly and safely reach the global target point in a complex environment with dynamic and static obstacles through the hybrid path planning algorithm. Numerical simulations are given to verify the effectiveness and superiority of the proposed hybrid path planning algorithm.