凤仙花不同提取物中山奈酚的测定

为寻求有效的山奈酚分离、纯化条件,并从凤仙花中提取山奈酚;分别采用不同溶剂和不同方法对凤仙花红色花瓣进行了提取,并利用高效液相色谱法对其主成分进行了测定;实验结果表明: 9种提取物中均含有山奈酚,乙酸乙酯提取物中山奈酚的含量最高: 1 g凤仙花红色花瓣的乙酸乙酯提取液中含有8.1 mg的山奈酚.     

荧光法猝灭测定木槿叶中混合氨基酸的总量

在乙酸-乙酸钠缓冲介质中,氨基酸能猝灭壳聚糖-茚三酮体系荧光,基于此,对木槿叶中混合氨基酸进行测定,并对该方法的测定条件进行了讨论.线性范围为0.5～3.0 mmol/L,检出限为0.1 mmol/L.木槿叶干粉中游离氨基酸的质量分数为10.18%,相对标准偏差为1.3%,回收率为102.5%～94.3%.     

An Edge Server Placement Method Based on Reinforcement Learning

In mobile edge computing systems, the edge server placement problem is mainly tackled as a multi-objective optimization problem and solved with mixed integer programming, heuristic or meta-heuristic algorithms, etc. These methods, however, have profound defect implications such as poor scalability, local optimal solutions, and parameter tuning difficulties. To overcome these defects, we propose a novel edge server placement algorithm based on deep q-network and reinforcement learning, dubbed DQN-ESPA, which can achieve optimal placements without relying on previous placement experience. In DQN-ESPA, the edge server placement problem is modeled as a Markov decision process, which is formalized with the state space, action space and reward function, and it is subsequently solved using a reinforcement learning algorithm. Experimental results using real datasets from Shanghai Telecom show that DQN-ESPA outperforms state-of-the-art algorithms such as simulated annealing placement algorithm (SAPA), Top-K placement algorithm (TKPA), K-Means placement algorithm (KMPA), and random placement algorithm (RPA). In particular, with a comprehensive consideration of access delay and workload balance, DQN-ESPA achieves up to 13.40% and 15.54% better placement performance for 100 and 300 edge servers respectively.     

火焰原子吸收法测定化妆品中的铬

采用火焰原子吸收分光光度法测定了兰州市的一些市售化妆品中铬的含量。结果表明,方法检测限(3σ)为0.003 mg/L,回收率在94%~105%之间,相对标准差小于1.3%,方法简便快速;市售多数化妆品中的铬含量超过国家标准,须引起人们的注意。     

液质联用检测人体血浆中的阿奇霉素

采用高效液相色谱串联质谱技术(HPLC-MS/MS)测定人体血浆中阿奇霉素的浓度. 选用Lichrospher CN 柱, 流动相为V(乙腈)∶V(水)=40∶60(水中含体积分数为0.1%的甲酸和质量分数为0.1%的醋酸铵), 电喷雾离子源正离子方式检测. 该方法在2.34~600 ng/mL范围内线性关系良好, 定量下限为2.34 ng/mL(S/N>10), 回收率94.13%~97.42%, 基质效应92.50%~107.87%, 日内和日间测定药物浓度的相对标准偏差(RSD)均小于10.0%. 用该方法测定了24名男性健康志愿者单剂量口服500 mg阿奇霉素试剂和参比制剂于192 h内的血药浓度, 并进行了生物等效性研究.     

基于灰色预测模型的全球气候变化趋势预测

考虑地球吸热、散热和海洋表面温度等因素对气候的影响,建立多变量灰色预测模型,预测未来气候变化趋势.考虑全球与局地之间是整体与部分的关系,建立基于多变量灰色预测的线性回归模型,判断全球气候变化与局地"极寒现象"之间是否存在关联性.     

Experimental study of heat transfer of ultra-supercritical pressure water in vertical upward internally ribbed tube

Under ultra-supercritical pressure, the heat transfer characteristics of water in vertical upward 4-head internally ribbed tubes with a diameter of 28.65mm and thickness of 8mm were experimentally studied. The experiments were performed at P=25～34MPa, G=450～1800kg/(m2·s) and q=200～600kW/m2. The results show that the pressure has only a moderate effect on the heat transfer of ultra-supercritical water when the water temperature is below the pseudocritical point. Sharp rise of the wall temperature near the pesudocritical region occurs earlier at a higher pressure. Increasing the mass velocity improves the heat transfer with a much stronger effect below the pesudocritical point than that above the pesudocritical point. For given pressure and mass velocity, the inner wall heat flux also shows a significant effect on the inner wall temperature, with a higher inner wall heat flux leading to a higher inner wall temperature. Increasing of inner wall heat flux leads to an early occurrence of sharp rise of the wall temperature. Correlations of heat transfer coefficients are also presented for vertical upward internally ribbed tubes.     

交替惩罚三线性分解算法结合三维荧光光谱法同时分辨和测定酪氨酸、苯丙氨酸和色氨酸

用交替惩罚三线性分解算法(APTLD)结合三维荧光光谱法给出的二维数据对酪氨酸、苯丙氨酸和色氨酸进行了同时定性定量分析,为直接同时测定混合氨基酸中此三种物质提供了一种新的分析方法, 其测定相关系数分别为0.9987,0.9995和0.9993。采用超声波组织细胞破碎法对木槿叶中的氨基酸进行提取,利用APTLD法对提取液中氨基酸进行定量测定,测定相对标准偏差分别为0.84％,0.36％,1.59％, 回收率分别在101.0％～92.7％, 106.5％～93.0％, 103.0％～95.0％之间,方法简洁、快速、准确可靠,结果令人满意。     

Synthesis and thermal energy storage properties of the polyurethane solid–solid phase change materials with a novel tetrahydroxy compound

Based on the phase change theory, a novel tetrahydroxy compound (THCD) was designed and prepared. Depending on the spatial structure of the tetrahydroxy compound, a form-stable thermoplastic polyurethane solid–solid phase change material (TPUPCM) was synthesized via employing PEG as soft segments, while multi-benzene ring structure made by 4,4′-diphenylmethane diisocyanate and tetrahydroxy compound as hard segments. The composition and structure of THCD and TPUPCM, the TPUPCM’s the weight average molecular weight and number average molecular weight, dissolving and melting abilities, phase change behaviors, thermal performances and crystalline morphology were investigated by Fourier transform infrared spectrometer, ¹H nuclear magnetic resonance spectrometer, multiangle laser light scattering apparatus, differential scanning calorimentry, dynamic mechanical thermal analysis, thermogravimetry analysis system, wide-angle X-ray diffraction, polarizing optical microscopy. The results show that the solid–solid phase change material owns excellent phase change properties and a broad processing temperature range. The heating cycle phase change enthalpy is 137.4 J/g, and the cooling cycle phase change enthalpy is 127.6 J/g. The started decomposition temperature and the maximum decomposition temperature are at 323.5 and 396.2 °C, respectively. Furthermore, the solid–solid phase change material is dissolvable, meltable and can be processed directly, and has great potential applications in thermal energy storage.     

磁固载雷尼镍在固定床反应器中的催化性能

采用强-弱双磁性载体固载雷尼镍催化剂,在自制的鼓泡固定床反应器中对对羟基亚苄基海因和邻硝基乙苯体系进行氢化实验.结果表明,雷尼镍催化剂的活性和稳定性均有所提高.对羟基苄基海因的平均收率达到90%以上,邻硝基乙苯的平均转化率超过99%,催化剂寿命可提高到300 h以上.