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目的采用孟德尔随机化法（MR）推断炎症小体NLRP3水平与冠心病发生风险之间的关联。方法依托东南大学中大医院心血管内科，对经冠状动脉造影确诊的321个冠心病病例和293个正常对照的人群，进行流行病学调查与血样标本采集。采用ELISA方法测定血清NLRP3水平；采用RFLP-PCR的基因分型方法，检测研究对象的NLRP3基因rs10754558（C/G）的多态性；以NLRP3基因rs10754558（C/G）作为工具变量，结合血清学相关表型NLRP3水平，采用线性回归分析和Logistic回归分析的方法分别构建基因型-表型、基因型-疾病结局之间的关联，进而使用MR方法推断相关细胞因子（表型）与CAD发生之间的因果关联。结果NLRP3基因变异rs10754558（C/G）与冠心病风险间以及NLRP3水平之间的关联均具有统计学意义，回归系数βZY=0.45，βZX=2.34，进而通过孟德尔随机化法推断出的NLRP3水平与冠心病风险的关联回归系数βXY=βZY/βZX=0.45/2.34=0.19，表明 NLRP3水平每增加1 ng/mL水平，冠心病的风险增加20.9%（OR=e0.19=1.209）。通过传统病例对照研究设计直接获得的NLRP3水平与冠心病风险的关联回归系数βXY=0.03，表明NLRP3每升高1 ng/mL，个体发生CAD的风险增加了3.1%（OR=e0.03=1.031， 95%CI=1.003-1.058），相比MR方法推断的关联强度较小。结论通过孟德尔随机化法验证了炎症小体NLRP3水平与冠心病风险之间的关联，比传统关联研究更接近真实因果关联。

在概率类SLM（选择性映射）算法基础上,提出一种改进型算法以降低可见光通信系统的PAPR（峰均功率比）。该算法利用Logistic混沌序列作为叠加训练序列,并作为SLM算法中的随机相位序列,这样在传送边带信息时,无需传送所有的随机相位序列,只需传送混沌序列的初始值。在接收端可以根据传送的初始值恢复传送的混沌序列,从而减少边带信息的冗余,提高系统的频带利用率和误码率性能。文章给出了算法原理及仿真结果,仿真结果表明:新算法可以有效抑制可见光通信系统的PAPR,同时提高了系统信噪比。

教学是临床工作重要的组成部分，是培养年轻医生成长的必要手段。神经病学和其他学 科相比知识体系更加复杂。脑血管疾病是最常见的中枢神经系统疾病，脑血管病教学的目的就是通 过临床实践、教学查房和讲座，让年轻医师在短时间内掌握脑血管病相关的基础和临床知识，并在 此基础上形成正确的诊疗思路，能跟踪国内外最新进展，将新的诊疗方法应用到临床工作中来，并 能在临床工作中发现问题，建立科研假说，进行科学研究，更好地指导下一步临床工作。本文介绍了 首都医科大学附属北京世纪坛医院神经内科脑血管病教学的临床体会。 Abstract: Clinical teaching is an important part of clinical work and it is a necessary way for training young doctors. Neurology knowledge system is more complex compared to other disciplines. Cerebrovascular disease is the most common disease of central nervous system.The purpose of clinical teaching is to lead young doctors to master knowledge of cerebrovascular disease and to form correct clinical thinking in a short period of time through clinical practice, teaching ward round and lecture. Young doctors should track the latest progress in neurology at home and abroad, and apply new methods of diagnosis and treatment into clinical practice. Young doctors also should have the ability to find problems in clinical work and establish scientific hypothesis for scientific research, in order to guide the clinical work in future. This article is to introduce the experience of clinical teaching methods of cerebrovascular disease in Beijing Shijitan Hospital, Capital Medical University.

【目的】通过检测抵抗素在甲状腺相关眼病患者及对照组眼眶脂肪组织和脂肪细胞中的表达，为进一步探讨抵抗素与甲状腺相关眼病的相关性打下基础。【方法】通过体外原代培养获得前脂肪细胞，前脂肪细胞在分化液的作用下转化为成熟脂肪细胞。用RT-PCR法检测眶脂肪组织、前脂肪细胞及成熟脂肪细胞中抵抗素mRNA的表达，并进行免疫组化检测抵抗素蛋白的表达。【结果】前脂肪细胞中无抵抗素mRNA及蛋白的表达。成熟脂肪细胞及眶脂肪组织中有抵抗素mRNA及蛋白的表达。免疫组化结果显示抵抗素蛋白位于成熟脂肪细胞胞浆中。【结论】甲状腺相关眼病患者眶脂肪中抵抗素mRNA及蛋白表达丰富，说明甲状腺相关眼病患者眶脂肪增多是因成熟脂肪细胞所占比例增加、脂肪细胞分化增强所致．

Compliance with self-monitoring of blood glucose is highly related to the efficacy of Blood-glucose control in patients with type 1 diabetes mellitus (T1DM). This paper summarized the studies about T1DM and related standardized insulin treatment, compliance with self-monitoring of blood glucose and related influencing factors, clinical applications of Flash glucose monitoring system, in order to provide reference for intervention on compliance with Flash glucose monitoring system usage in patients with type 1 diabetes mellitus (自我血糖监测依从性直接关系到1型糖尿病(T1DM)患者的血糖控制效果。本文从T1DM及胰岛素规范治疗、自我血糖监测依从性及影响因素、扫描式葡萄糖监测系统在T1DM患者中的应用等方面做一综述, 旨在为增强T1DM患者使用扫描式葡萄糖监测系统的依从行为提供参考意见。)

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目的：为提升用户使用护理床时的积极情感体验, 提出了一种符合用户积极体验需求的护理床形态设计评价方法。 方法：依据积极体验影响因素与行为分析法, 获得用户使用护理床时的行为特征与对应的积极体验需求, 并应用层 次分析法和质量屋构建积极体验需求与护理床功能模块的匹配关系模型；采用因子分析和语义差异法对护理床形 态进行感性意象评价, 结合幸福感评价构建积极意象线性回归公式；应用反向传播（BP）神经网络建立护理床形态 特征要素与感性意象的映射模型；基于映射模型与线性回归公式建立护理床形态积极意象评价模型。 结果：将符合用户积极体验需求的护理床功能造型特征要素编码重组, 输入到评价模型中, 输出4组幸福感评分较 高的整体设计方案, 结合眼动实验对比李克特量表法与模型预测的幸福感评分, 误差<0.1证实了模型有效性。 结论：该方法构建的积极意象评价模型可有效获得符合用户积极情感需求的护理床形态设计方案, 拓宽了相关产品 的积极体验设计研究思路 [ABSTRACT FROM AUTHOR]

During the actual operation of flight schedules, the change of wind direction affects the arrival time of flights at the shared waypoints in the terminal area, which in turn causes capacity overload or capacity waste. Therefore, flight schedule is adjusted based on statistical probabilities of wind direction, with the aim of developing a flight schedule that can reduce to some extent the capacity overload or waste of shared waypoints. The concept of a benchmark wind direction was proposed based on the impact of wind direction on the allocation of runways for departing flights. Using the probability of the benchmark wind direction at the airport for each month in the past five years during the flight season, the probability of the benchmark wind direction for each month in the next year was predicted, and all the months were clustered by characteristics of the wind direction's probability. On the basis of the clustering results, taking the effect extent of wind direction change on waypoint's flow as the objective function, a flight schedule optimization model considering characteristics of wind direction's probability was established, and the ε -constraint method was combined with an improved particle swarm algorithm (PSO) to solve the multi-objective model,which was called ε -constraint-PSO combination algorithm. The departure flights from the Beijing terminal area were used as the research object for verification. The results show that compared with the initial flight schedule, the maximum value of the hourly flow of shared waypoints decrease by 12%, and the variance of the shared waypoint flow at different benchmark wind directions decrease by 49% and 56%, respectively. Compared with the linear weighting method, this method can reduce the total number of overflow flights at shared waypoints by 70% . Research results indicate that considering the characteristics of the wind direction's probability, the model can to some extent achieve a more balanced flow of traffic at shared waypoints, reducing occurrences of capacity overload or waste at these waypoints,reducing the effect extent of wind direction change on waypoint's flow. [ABSTRACT FROM AUTHOR]

Objective To analyze the effects of air pollutants on male semen quality and different stages of sperm development in Taiyuan. Methods Totally 7 614 men who were admitted to the Reproductive Department of the First Hospital of Shanxi Medical University from January 1 to December 31, 2019 were enrolled. Their age, semen collection season, and semen parameters were recorded. At the same time, the monitoring data of six air pollutants (SO2, N02 CO, 03, PM25, and PML0) were collected, and the exposure of air pollutants in the whole developmental period (0 to 90 days before semen collection) and three critical developmental periods (0-9 days, 10-14 days, and 70-90 days) were calculated. Nonparametric Mann-Whitney U test was used to compare the data difference between qualified and unqualified semen parameters. The generalized estimation equation was used to explore the effects of six kinds of air pollutants on the quality parameters of each sperm at different stages of sperm development. Results During the whole period of sperm development, the exposure concentrations of S02!1 NO2, O3, and PM25 were different between the qualified and unqualified groups of normal sperm morphology. The exposure to PMl()at 10 and 14 days before semen collection was positively correlated with semen volume (07=1.245, 95%CZ: 1.057-1.467), sperm concentration (Oi=1.247, 95%CI: 1,027-1.514), total sperm count (OR=1.385, 95%CI: 1.167-1.643), total motility (Oi=L236, 95%CZ: 1.085-1.409), and forward movement (Oi=L207, 95%CZ: 1.059-1.376). The O3 exposure was positively correlated with sperm concentration (02 = 1.250, 95%CI: 1.002-1.55& OR = 1.173, 95% CI: 1.025 -1343), total sperm count (Oi=1.255!) 95%CI: 1.026-1.537; OR二 121 & 95%CI: 1.074-1380), and normal sperm morphology (O/=1.295, 95%CIi 1.047-1.602; OR二1229, 95%CI: 1.076-1.404). Conclusion Exposure to air pollutants increases the risk of unqualified semen parameters at all stages of sperm development, and the critical window period focuses on 10-14 days before semen collection, which is the developmental stage of sperm motility. PMLo and O3 are the main reproductive toxins affecting the decline of male sperm quality in Taiyuan, which need to be paid attention to. [ABSTRACT FROM AUTHOR]

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[Objectives]The purpose of this study was to explore the effects of the addition of black soldier fly on the nutrient and maturity of materials and gas emissions changes of materials during the transformation of chicken manure, providing scientific basis for promoting the biological composting of chicken manure by the black soldier fly. [Methods]Two treatments were set up in this experiment, one treatment was fresh chicken manure added with black water fly larvae(BSF treatment)and the other treatment was without black water fly larvae(control), comparing the changes of physical and chemical properties, greenhouse gas and ammonia emissions between these two treatments. [Results]Feed insect ratio of chicken manure treated with black solider fly was 6.70, and the biotransformation rate was 38.3%, the fresh weight reduction rate of the material was 66.0%, but the fresh weight reduction rate of the control group material was only 47.6%. In the experiment with a period of 12 days, the accumulated CO2 emission of the BSF treatment group was lower than that of the control group in the first 6 days, then the accumulated CO2 emission was higher than that of the control group, but CH4 emission was far lower than that of the control group. In addition, no obvious N2O emission was observed in both BSF treatment group and control group, and the non-CO2 global warming potential of BSF treatment group was significantly lower than that of the control group, which was only 7.09% of that produced in control group. Meanwhile, its cumulative emission of ammonia was higher than that of the control group. [Conclusions]The black soldier fly could directly reduce the amount of high-moisture material chicken manure and transform it into economically valuable insect body and vermiculite sand, and its emission potential of greenhouse gas was significantly lower than that of the control group. So, biocomposting of chicken manure by the black soldier fly was a low carbon, high efficiency and high value livestock and poultry manure treatment mode. [ABSTRACT FROM AUTHOR]

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In order to meet the actual needs of the control work, the scheduling plan of controllers should be formulated scientifically to improve the utilization efficiency and job satisfaction of the controllers. With the minimum number of personnel requirements as the goal, the controller scheduling model was established on the basis of meeting the requirements of various regulations of Civil Aviation Administration. Based on the initial model, the model was improved considering the individual needs of personnel. Finally, taking the data of controllers in a certain air traffic management bureau's regional control room as an example for analysis, the model was solved using a LINGO solver. The results show that the compared with manually compiled scheduling schedules, the scheduling plan developed through the scheduling optimization model reduces the number of personnel on duty, avoids personnel waste, and can fully meet the personalized needs of controllers. [ABSTRACT FROM AUTHOR]

Copyright of Progress in Modern Biomedicine is the property of Publishing House of Progress in Modern Biomedicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)