共生菌B1+B2聚乙烯醇降解酶活性优化研究

从PVA降解酶的角度对本实验室前期实验筛选到的共生菌B1+B2进行了研究.在考察共生菌的基本生长和酶活的关系以及PVA降解酶和氧化酶的关系后,研究了不同的营养条件对PVA降解酶活性的影响.通过对主要营养条件的单因素考察,设计正交实验,优化出影响PVA降解酶活性的最佳主要营养条件为酵母汁0.2gL-1、硝酸铵0.2gL-1、葡萄糖0.5gL-1.采用优化条件进行验证实验,PVA降解酶活性(1.61UmL-1)高于正交实验中的最高酶活(1.56UmL-1),研究结果对发酵生产PVA降解酶和提高该菌在PVA废

改进YOLOv5的闪电哨声波轻量化自动检测模型

提出一种改进YOLOv5(You-Only-Look-Once version 5)检测模型YOLOv5-Upgraded. 为了更快定位真实边框, 该模型将损失函数CIoU (Complete IoU)替换为SIoU(Scylla IoU); 同时为了避免网络训练过程中梯度消失、梯度爆炸以及神经元坏死等现象, 将激活函数SiLU(Sigmoid-weighted Linear Unit)替换为具有更好梯度流的Mish; 在主干网络中插入注意力 (Coordinate Attention, CA)机制, 帮助模型更精准地识别闪电哨声波, 大大降低了漏检率. 基于张衡一号感应磁力仪(Search Coil Magnetometer, SCM)数据, 以2.4 s时间窗口截取数据, 经带通滤波、短时傅里叶变换得到1126张时频图数据集, 再经图像增强操作扩充至7882张, 其中7091张作为训练集, 791张作为测试集. 实验结果表明, 基于改进YOLOv5的模型平均精度均值为99.09%, 召回率为96.20%, 与YOLOv5s相比, 分别提升了2.75%和5.07%, 与基于时频图的YOLOv3模型相比, 平均精度均值和召回率则分别提高了5.89%和9.62%. 基于智能语音的LSTM (Long Short Term Memory Networks)闪电哨声波识别模型大小为82.89 MB, YOLOv5-Upgraded仅为13.78 MB, 约节省83.38%的内存资源. 研究表明改进后的轻量化模型大大降低了闪电哨声波的漏检现象, 在测试集中取得了较好结果, 并且其轻量化特征易于部署到卫星设备, 极大地提高了星载识别的可能性

大连极紫外相干光源

先进光源的发展在前沿科学研究中发挥的作用越来越重要。近十年来,飞速发展的自由电子激光技术为科学家们提供了探索未知世界、发现新科学规律和实现技术变革的重要工具。建成的大连极紫外(EUV)相干光源的运行波段为50~150nm,单脉冲能量大于100μJ,且可提供10-12 s和10-13 s量级的超快激光脉冲,是我国第一台自由电子激光用户装置,并且是国际上唯一运行在极紫外波段的自由电子激光用户装置,在世界范围内为用户提供具有高峰值亮度和超短脉冲的极紫外激光。大连EUV相干光源是由国家自然科学基金委资助、由中国科学院大连化学物理研究所和上海应用物理研究所共同承担的重大科学仪器研制项目,目标是打造一个以先进极紫外光源为核心、主要用于能源基础科学研究的光子科学平台

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies