目的系统评价青少年自杀真实体验,为临床门诊、心理科预防青少年自杀以及社区护理人员掌握青少年心理健康情况并制定干预措施提供参考。方法计算机检索PubMed、Embase、Web of Science、CINAHL、The Cochrane Library、美国心理学会全...目的系统评价青少年自杀真实体验,为临床门诊、心理科预防青少年自杀以及社区护理人员掌握青少年心理健康情况并制定干预措施提供参考。方法计算机检索PubMed、Embase、Web of Science、CINAHL、The Cochrane Library、美国心理学会全文期刊数据库、万方数据库、中国知网、中国生物医学文献数据库,并辅以人工检索,检索青少年自杀真实体验的质性研究,时限均从建库至2022年7月。文献质量采用澳大利亚JBI循证卫生保健中心质性研究质量评价标准进行评价,运用汇集性整合方法进行结果整合。结果共纳入10篇文献,提炼出42个研究结果,归纳为9个新类别,得到3个整合结果。整合结果1:青少年对自杀多维度认知——自杀因素的总结分析;整合结果2:青少年自杀的真实体验——复杂多变的情绪冲突;整合结果3:自杀未遂青少年的应对——敬畏生命与自我认同。结论青少年产生自杀意念、行为的因素呈现多维度,一旦诱发将对其造成持续性的消极影响,目前对于青少年预防自杀以及自杀未遂后的处理仍不够完善,临床医护人员需密切关注青少年的情绪心理变化,针对性给予患者适合其自身特点的应对方案,以守护青少年健康成长。展开更多
并行矩阵乘法是线性代数中最重要的基本运算之一,同时也是许多科学应用的基石.随着高性能计算(HPC)向E级计算发展,并行矩阵乘法的通信开销所占比重越来越大.如何降低并行矩阵乘法的通信开销,提高并行矩阵乘的可扩展性是当前研究的热点之...并行矩阵乘法是线性代数中最重要的基本运算之一,同时也是许多科学应用的基石.随着高性能计算(HPC)向E级计算发展,并行矩阵乘法的通信开销所占比重越来越大.如何降低并行矩阵乘法的通信开销,提高并行矩阵乘的可扩展性是当前研究的热点之一.本文提出一种新型的分布式并行稠密矩阵乘算法,即2.5D版本的PUMMA(Parallel Universal Matrix Multiplication Algorithm)算法,该算法是通过将初始的进程分成c组,利用计算节点的额外内存,在每个进程组上同时存储矩阵A、B和执行1/c的PUMMA算法,最后通过规约操作来得到矩阵乘的最终结果.本文基于BLACS(Basic Linear Algebra Communication Subprograms)通信库实现了一种从2D到2.5D的新型数据重分配算法,与PUMMA算法相结合,最终得到2.5D PUMMA算法,可直接替换PDGEMM(Parallel Double-precision General Matrix-matrix Multiplication),具有良好的可移植性.与国际标准算法库ScaLAPACK(Scalable Linear Algebra PACKage)中的PDGEMM等经典2D算法相比,本文算法缩减了通信次数,提高了数据局部性,具有更好的可扩展性.在进程数较多时,例如4096进程时,系统测试表明相对PDGEMM的加速比可达到2.20~2.93.进一步地,本文将2.5D PUMMA算法应用于加速计算对称三对角矩阵的特征值分解,其加速比可达到1.2以上.本文通过大量数值算例分析了2.5D PUMMA算法的性能,并给出了实用性建议和总结了未来的工作.展开更多
Objective： To observe the intervention effect of Shugan Jianpi Formula （疏肝健脾方,SGJPF） on a breast cancer mouse model with depression and investigate the underlying mechanism of SGJPF in preventing the developme...Objective： To observe the intervention effect of Shugan Jianpi Formula （疏肝健脾方,SGJPF） on a breast cancer mouse model with depression and investigate the underlying mechanism of SGJPF in preventing the development of breast cancer. Metkods： The breast cancer model was induced by inoculation of breast cancer cells, the depression model was induced by chronic stress stimuli, and the depression cancer model was established by combining the two factors. The mice were divided into 7 groups： normal control, depression model, tumor model, depression tumor model, SGJPF, chemotherapy, and SGJPF＋chemotherapy groups. The last 3 groups were depression breast cancer mice and treated respectively with SGJPF, chemotherapy drug gemcitabine （GEM）, and SGJPF alongside GEM. The condition of the mice was evaluated by the expression of 5-hydroxytryptamine in hippocampus after the sucrose water test and open field test, weight change, and survival time. Tumor growth was monitored with in vivo imaging. Flow cytometry was used to analyze the level of myeloid-derived suppression cell （MDSC） in the mouse spleen, T cell subsets, and the early apoptosis of CD8~ T cells, Results： The SGJPF＋GEM group had the highest inhibition rate and the longest survival time （P〈0.01）. The MDSC level and the apoptosis rate of CD8＊ T cells was the highest in the SGJPF＋GEM group （P〈0.05）. Conclusions： Depressive disorders and tumor growth could suppress the immune function of mice to different degrees, and the microenvironment in late 4T1 inflammatory breast cancer may play an important role in the pathological process. SGJYF could regulate the immune microenvironment by reducing CD8＊ T lymphocyte apoptosis and tumor cell activity, increasing immune surveillance capability, and inhibiting MDSC proliferation, thus prolonging the survival time of tumor-bearing mice.展开更多
文摘目的系统评价青少年自杀真实体验,为临床门诊、心理科预防青少年自杀以及社区护理人员掌握青少年心理健康情况并制定干预措施提供参考。方法计算机检索PubMed、Embase、Web of Science、CINAHL、The Cochrane Library、美国心理学会全文期刊数据库、万方数据库、中国知网、中国生物医学文献数据库,并辅以人工检索,检索青少年自杀真实体验的质性研究,时限均从建库至2022年7月。文献质量采用澳大利亚JBI循证卫生保健中心质性研究质量评价标准进行评价,运用汇集性整合方法进行结果整合。结果共纳入10篇文献,提炼出42个研究结果,归纳为9个新类别,得到3个整合结果。整合结果1:青少年对自杀多维度认知——自杀因素的总结分析;整合结果2:青少年自杀的真实体验——复杂多变的情绪冲突;整合结果3:自杀未遂青少年的应对——敬畏生命与自我认同。结论青少年产生自杀意念、行为的因素呈现多维度,一旦诱发将对其造成持续性的消极影响,目前对于青少年预防自杀以及自杀未遂后的处理仍不够完善,临床医护人员需密切关注青少年的情绪心理变化,针对性给予患者适合其自身特点的应对方案,以守护青少年健康成长。
文摘并行矩阵乘法是线性代数中最重要的基本运算之一,同时也是许多科学应用的基石.随着高性能计算(HPC)向E级计算发展,并行矩阵乘法的通信开销所占比重越来越大.如何降低并行矩阵乘法的通信开销,提高并行矩阵乘的可扩展性是当前研究的热点之一.本文提出一种新型的分布式并行稠密矩阵乘算法,即2.5D版本的PUMMA(Parallel Universal Matrix Multiplication Algorithm)算法,该算法是通过将初始的进程分成c组,利用计算节点的额外内存,在每个进程组上同时存储矩阵A、B和执行1/c的PUMMA算法,最后通过规约操作来得到矩阵乘的最终结果.本文基于BLACS(Basic Linear Algebra Communication Subprograms)通信库实现了一种从2D到2.5D的新型数据重分配算法,与PUMMA算法相结合,最终得到2.5D PUMMA算法,可直接替换PDGEMM(Parallel Double-precision General Matrix-matrix Multiplication),具有良好的可移植性.与国际标准算法库ScaLAPACK(Scalable Linear Algebra PACKage)中的PDGEMM等经典2D算法相比,本文算法缩减了通信次数,提高了数据局部性,具有更好的可扩展性.在进程数较多时,例如4096进程时,系统测试表明相对PDGEMM的加速比可达到2.20~2.93.进一步地,本文将2.5D PUMMA算法应用于加速计算对称三对角矩阵的特征值分解,其加速比可达到1.2以上.本文通过大量数值算例分析了2.5D PUMMA算法的性能,并给出了实用性建议和总结了未来的工作.
基金Supported by the National Natural Science Foundation of China(No.81273946 and No.81072802)the National Science and Technology Major Projects for"Major New Drugs Innovation and Development"(No.2013ZX09303301)
文摘Objective： To observe the intervention effect of Shugan Jianpi Formula （疏肝健脾方,SGJPF） on a breast cancer mouse model with depression and investigate the underlying mechanism of SGJPF in preventing the development of breast cancer. Metkods： The breast cancer model was induced by inoculation of breast cancer cells, the depression model was induced by chronic stress stimuli, and the depression cancer model was established by combining the two factors. The mice were divided into 7 groups： normal control, depression model, tumor model, depression tumor model, SGJPF, chemotherapy, and SGJPF＋chemotherapy groups. The last 3 groups were depression breast cancer mice and treated respectively with SGJPF, chemotherapy drug gemcitabine （GEM）, and SGJPF alongside GEM. The condition of the mice was evaluated by the expression of 5-hydroxytryptamine in hippocampus after the sucrose water test and open field test, weight change, and survival time. Tumor growth was monitored with in vivo imaging. Flow cytometry was used to analyze the level of myeloid-derived suppression cell （MDSC） in the mouse spleen, T cell subsets, and the early apoptosis of CD8~ T cells, Results： The SGJPF＋GEM group had the highest inhibition rate and the longest survival time （P〈0.01）. The MDSC level and the apoptosis rate of CD8＊ T cells was the highest in the SGJPF＋GEM group （P〈0.05）. Conclusions： Depressive disorders and tumor growth could suppress the immune function of mice to different degrees, and the microenvironment in late 4T1 inflammatory breast cancer may play an important role in the pathological process. SGJYF could regulate the immune microenvironment by reducing CD8＊ T lymphocyte apoptosis and tumor cell activity, increasing immune surveillance capability, and inhibiting MDSC proliferation, thus prolonging the survival time of tumor-bearing mice.
