健脾八珍颗粒的研制

为筛选出最佳的健脾八珍颗粒处方,以其成型性、溶解性为筛选指标,筛选出处方中加入辅料的品种及配比。结果表明,健脾八珍颗粒的原粉中加入2倍量的糊精和25%的蔗糖,并以2%的CMC-Na作为助悬剂、15%的自制变性淀粉胶(SWJ)为黏合剂为最佳处方。所得产品溶解性、成型性能均较好。     

微量元素活性剂口服液对中老年人血液脂蛋白和脂质过氧化反应的影响

30名受试者平均年龄59．5±6．9岁．其中女性11名。每名受试者连续饮用微量元素活性剂口服液1个月。结果表明．血清总胆固醇由6．037mmol／L减少到4.867mmol／L，P＜0.01。低密度脂蛋白由4.470mmol／L减少到3．667mmol／L．P＜0．O1．甘油三脂和极低密度脂蛋白也分别降低了9．8％和10．6％；而高密度脂蛋白由0.720mmol／L增至1．003mmol／L，P＜O．O5；血浆丙二醛浓度由4．435mmol／L降至4.081mmol／L，P＜0．05：红细胞谷胱甘肽过氧化物酶和超氧化物歧化酶浓度均升高。血脂和血脂蛋白的变化表明．微量元素活性剂口服液对中老年人防治脑动脉硬化和冠心病具有良好作用。     

老年人的合理用药

老年人由于组织器官的老化和功能减退，影响药物的吸收、分布、代谢和排泄。为确保老年患者的用药安全，应提高老年人的合理用药水平。     

健康老年人血清锌,铜,镁含量的调查

应用原子吸收分光光度法对济南市健康老年人血清中铜、锌、镁含量进行了测定。结果表明，健康老年人血液铜、锌水平低，但铜、锌比值正常，而镁的含量则较高。提示这组健康老年人未患心、脑血管疾病及糖尿病的原因可能与铜、锌、镁等微量元素有关。     

Discriminant Analysis of Volatile Organic Compounds data related to a new location method of entrapped people in collapsed buildings of an earthquake

Discriminant Analysis is used as a part of a research, which aims at using expired air analysis for the early location of entrapped people under the ruins of collapsed buildings in an earthquake. This work focuses on the possibility of distinguishing Volatile Organic Compounds (VOCs) in the entrapment area which originate from different sources. Five categories of samples were analyzed by Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC-MS). Expired air samples from healthy humans (Category 1) and fasting people (Category 2) were analyzed for studying the VOCs attributed to entrapped people. Headspace air of urban waste disposal bins (Category 3), headspace air of bags with decaying human bodies (Category 4) and urban air samples (Category 5) were analyzed for studying the VOCs attributed to background sources. Discriminant Rotation, a specific type of Discriminant Analysis was applied on the VOCs concentration matrix of the five categories. Combinations of VOCs that best discriminated each category were determined. Cluster Analysis was used to validate the results of Discriminant Analysis. The advantages and limitations of the method are presented and discussed.     

Rapid quantitative analysis of etoricoxib in human plasma by UPLC‐MS/MS and application to a pharmacokinetic study in Chinese healthy volunteers

A selective and sensitive liquid chromatography–tandem mass spectrometry method was developed for simultaneous determination of etoricoxib in human plasma. Chromatography was performed on an Acquity UPLC HSS T3 column (1.8 μm, 50 × 2.1 mm), with a flow rate of 0.600 mL/min, using a gradient elution with acetonitrile and water which contained 2 mm ammonium acetate as the mobile phase. Detection was carried out on Triple QuadTM 5500 mass spectrometer under positive‐ion multiple reaction monitoring mode. The respective mass transitions used for quantification of etoricoxib and etoricoxib‐d3 were m/z 359.0 → 280.1 and m/z 362.0 → 280.2. Calibration curves were linear over the concentration range of 5–5000 ng/mL. The validated method was applied in the pharmacokinetic study of etoricoxib in Chinese healthy volunteers under fed and fasted conditions. After a single oral dose of 120 mg, the main pharmacokinetic parameters of etoricoxib in fasted and fed groups were respectively as follows: peak concentration, 2364.78 ± 538.01 and 1874.55 ± 367.90 ng/mL; area under the concentration–time curve from 0 to 120 h, 44,605.53 ± 15,266.66 and 43,516.33 ± 12,425.91 ng h/mL; time to peak concentration, 2.00 and 2.50 h; and half‐life, 24.08 ± 10.06 and 23.64± 6.72 h. High‐fat food significantly reduced the peak concentration of etoricoxib (p = 0.001) but had no effect on the area under the concentration–time curve.     

问题视角浅析

文中通过多视角分析解决数学问题,向学习者渗透了数学思想的辩证性和学习方法的灵活性,体现了"以人为本"现代理念下的数学教育.     

价值引领融入“无机化学与化学分析”的课程思政建设

将课程思政应用到"无机化学和化学分析"教学中,更好发挥其价值引领作用。开展课程思政建设,应做到守正与创新。本文以价值引领为切入点,介绍如何将思想政治教育有机融入课程内容设置和课堂讲授等环节,力求培养学生的家国情怀、国际视野、法治意识、生态意识、工程伦理、人文关怀等科学素养,深入践行立德树人,提高本科教学质量。     

富硒保健食品硒含量标准的探讨

介绍了开发富硒保健食品的意义，和提出了天然富硒食品硒含量的标准。     

Deep Learning for Walking Behaviour Detection in Elderly People Using Smart Footwear

The increase in the proportion of elderly in Europe brings with it certain challenges that society needs to address, such as custodial care. We propose a scalable, easily modulated and live assistive technology system, based on a comfortable smart footwear capable of detecting walking behaviour, in order to prevent possible health problems in the elderly, facilitating their urban life as independently and safety as possible. This brings with it the challenge of handling the large amounts of data generated, transmitting and pre-processing that information and analysing it with the aim of obtaining useful information in real/near-real time. This is the basis of information theory. This work presents a complete system aiming at elderly people that can detect different user behaviours/events (sitting, standing without imbalance, standing with imbalance, walking, running, tripping) through information acquired from 20 types of sensor measurements (16 piezoelectric pressure sensors, one accelerometer returning reading for the 3 axis and one temperature sensor) and warn the relatives about possible risks in near-real time. For the detection of these events, a hierarchical structure of cascading binary models is designed and applied using artificial neural network (ANN) algorithms and deep learning techniques. The best models are achieved with convolutional layered ANN and multilayer perceptrons. The overall event detection performance achieves an average accuracy and area under the ROC curve of 0.84 and 0.96, respectively.