Analysis and Simulation of S-shaped Waveguide in Silicon-on-insulator

The simulation and analysis of S-shaped waveguide bend are presented.Bend radius larger than 30 mm assures less than 0.5 dB radiation loss for a 4-μm-wide silicon-on-insulator waveguide bend with 2-μm etch depth.Intersection angle greater than 20° provides negligible crosstalk (<-30 dB) and very low insertion loss.Any reduction in bend radius and intersection angle is at the cost of the degradation of characteristics of bent waveguide and intersecting waveguide, respectively.     

Communicating Is Crowdsourcing: Wi-Fi Indoor Localization with CSI-Based Speed Estimation

Numerous indoor localization techniques have been proposed recently to meet the intensive demand for location-based service (LBS). Among them, the most popular solutions are the Wi-Fi fingerprint-based approaches. The core challenge is to lower the cost of fingerprint site-survey. One of the trends is to collect the piecewise data from clients and establish the radio map in crowdsourcing manner. However the low participation rate blocks the practical use. In this work, we propose a passive crowdsourcing channel state information (CSI) based indoor localization scheme, C²IL. Despite a crowdsourcing based approach, our scheme is totally transparent to the client and the only requirement is to connect to our 802.11n access points (APs). C²IL is built upon an innovative method to accurately estimate the moving speed solely based on 802.11n CSI. Knowing the walking speed of a client and its surrounding APs, a graph matching algorithm is employed to extract the received signal strength (RSS) fingerprints and establish the fingerprint map. For localization phase, we design a trajectory clustering based localization algorithm to provide precise real-time indoor localization and tracking. We develop and deploy a practical working system of C²IL in a large office environment. Extensive evaluations indicate that the error of speed estimation is within 3%, and the localization error is within 2 m at 80% time in a very complex indoor environment.     

带钢桁架转换层框架-剪力墙结构抗震性能研究

通过对一栋1:25带钢桁架转换层框架-剪力墙结构模型振动台试验和有限元理论计算分析,研究了模型结构的动力特性、弹性和弹塑性地震反应及其破坏形式.结果表明,随输入地震波加速度峰值的提高,模型裂缝逐渐发展,但在试验过程中未出现破坏性裂缝;本工程人工波引起结构地震响应最强烈,其次是El Centro波和场地波;钢桁架转换层及其上部结构层层间位移角有突变,为结构的薄弱层.钢桁架转换结构形式可以满足结构抗震要求,结构整体抗震性能良好,能够满足6度抗震区抗震设防要求.     

αs-casein inhibits the pressure-induced aggregation of β-lactoglobulin through its molecular chaperone-like properties

In this work, the effects of α_s-casein (α_s-CN) on the pressure-induced aggregation of β-lactoglobulin (β-Lg) were studied. α_s-CN depressed the pressure-induced aggregation of β-Lg, and this function was dependent on the concentration of α_s-CN and the pressure holding time. Furthermore, α_s-CN altered the aggregation process of β-Lg by suppressing the transition of the aggregate from the soluble phase to the insoluble phase and, as a result, the fraction of insoluble aggregates was decreased. During this process, α_s-CN formed stable complexes with the denatured β-Lg and the formation of complexes prevented further aggregation of β-Lg and solubilized aggregated β-Lg to a small degree of polymerization. These results indicate that α_s-CN exhibits a chaperone-like activity under high pressure, and provide an insight into the possible mechanism by which α_s-CN accomplishes the task of stabilizing proteins to resist the pressure-induced aggregation of β-Lg.     

基于气相色谱-离子迁移谱法比较刺梨和无籽刺梨挥发性成分差异

目的 比较刺梨和无籽刺梨的挥发性成分差异,构建两种刺梨挥发性成分的指纹图谱。方法 采用气相色谱-离子迁移谱法(gas chromatography-ion mobility spectrometry, GC-IMS)对刺梨和无籽刺梨的挥发性成分进行分析。通过Gallery Plot软件构建两种刺梨挥发性成分的指纹图谱,比较两种刺梨挥发性成分的差异,确定其主要特征挥发性成分。结果 从刺梨和无籽刺梨中共检出73种挥发性成分,鉴定出56种挥发性成分,包括酯类25种、醛类15种、酮类8种、醇类4种、萜类2种、酸类1种、硫醚1种。刺梨和无籽刺梨挥发性成分差异显著,二者差异的主要标志物为香茅醇、壬酸、2-羟基-4-甲基戊酸乙酯、2-甲基丁酸甲酯、2-甲基丁醛、二甲基硫醚。结论 刺梨的挥发性成分比无籽刺梨更为丰富,二者挥发性成分指纹图谱差异明显,本研究可为刺梨挥发性成分的研究及刺梨的开发利用提供数据参考。     

微酸性电解水凝胶对天麻鲜切片贮藏品质的影响

目的 研究微酸性电解水(slightly acidic electrolyzed water,SAEW)凝胶对天麻鲜切片贮藏品质的影响。方法 以不同有效氯浓度、凝胶浓度和处理时间为自变量,样品表面菌落存活数量级为响应值,利用响应面优化法得出最佳组合并对天麻鲜切片进行(4±1)℃贮藏实验,分别在贮藏0、2、4、6、8、10 d内测定天麻鲜切片的表面菌落总数、色差、天麻多糖含量、质量损失率。以无菌水处理作对照,分析SAEW凝胶对天麻鲜切片贮藏品质的影响。结果 天麻鲜切片在0～10d的贮藏过程中,处理组菌落总数为2.06logCFU/g、色差值变化为5.89、质量损失率为1.24%、天麻多糖含量减少2.06%。对照组菌落总数为3.72 log CFU/g、色差值变化为10.01、质量损失率为3.24%、天麻多糖含量减少5.45%。结论 SAEW凝胶在控制天麻鲜切片表面微生物危害和延缓品质衰减方面有一定潜力,相关结果有助于天麻鲜切片保鲜技术理论的完善。     

氨基酸对葡萄糖-天冬酰胺模拟体系中丙烯酰胺形成的抑制作用研究

目的 研究4种氨基酸对已建立的葡萄糖-天冬酰胺模拟体系中丙烯酰胺生成的影响。方法 以葡萄糖-天冬酰胺组为对照组,在此基础上分别加入半胱氨酸、甘氨酸、赖氨酸和谷氨酸4种氨基酸为实验组,于140℃反应5～30min,测定反应后模拟体系的褐变程度、色差值、生成丙烯酰胺含量和剩余葡萄糖含量。结果 4种氨基酸中,半胱氨酸和谷氨酸对模拟体系中的褐变度和色差值的抑制作用较好;半胱氨酸和赖氨酸对底物葡萄糖的消耗作用较快;半胱氨酸对丙烯酰胺的抑制效果最好,抑制率为(76.00±0.73)%,其他氨基酸的抑制率分别为甘氨酸(38.39±0.44)%、赖氨酸(51.03±3.09)%和谷氨酸(28.76±2.43)%;进一步研究发现,当添加4.2mmol半胱氨酸时,丙烯酰胺抑制率达(95.32±0.47)%。结论 4种氨基酸相比,半胱氨酸对丙烯酰胺形成的抑制效果最好,且对于降低葡萄糖-天冬酰胺模拟体系的褐变度、色差值、葡萄糖含量有较好的效果。     

渝东北地区食品中典型酰胺醇类抗生素残留快速检测及风险评估

目的 建立食品中典型酰胺醇类抗生素残留的快速检测方法并对该类药物在渝东北地区的残留污染风险进行评估。方法 采用乙腈萃取食品基质中残留的酰胺醇类抗生素, QuEChERS法进行净化,超高效液相色谱-串联质谱法(ultra performance liquid chromatography-tandem mass spectrometry, UPLC-MS/MS)分析检测;同时应用层次分析法(analytic hierarchy process, AHP)对渝东北地区食品中酰胺醇类药物残留的污染风险进行评估。结果 Qu ECh ERS-UPLC-MS/MS检测技术精确度高,氯霉素、氟苯尼考和甲砜霉素在0.15～50.00μg/kg浓度范围内的线性相关系数均大于0.999,在0.15～50.00μg/kg浓度水平范围内的回收率分别为85.2%～100.9%、76.7%～90.6%、85.3%～96.7%,精密度均小于15%,检出限为0.10μg/kg,定量限为0.15μg/kg。求解AHP模型可知,渝东北地区酰胺醇类药物残留的食品污染风险程度为:氟苯尼考>甲砜霉素>氯霉素。其中,...     

Test Data Sets and Evaluation of Gene Prediction Programs on the Rice Genome

With several rice genome projects approaching completion gene prediction/finding by computer algorithms has become an urgent task. Two test sets were constructed by mapping the newly published 28,469 full-length KOME rice cDNA to the RGP BAC clone sequences of Oryza sativa ssp. japonica: a single-gene set of 550 sequences and a multi-gene set of 62 sequences with 271 genes. These data sets were used to evaluate five ab initio gene prediction programs: RiceHMM, GlimmerR, GeneMark, FGENSH and BGF. The predictions were compared on nucleotide, exon and whole gene structure levels using commonly accepted measures and several new measures. The test results show a progress in performance in chronological order. At the same time complementarity of the programs hints on the possibility of further improvement and on the feasibility of reaching better performance by combining several gene-finders.     

New Approach to Designing Multilayer Feedforward Neural Network Architecture for Modeling Nonlinear Restoring Forces. II: Applications

Based on the basic formulation developed in a companion paper, the writers now present the application of an artificial neural network approach to designing streamlined network models to simulate and identify the nonlinear dynamic response of single-degree-of-freedom oscillators using the restoring force-state mapping interpretation. The neural networks which use sigmoidal activation functions are shown to be highly robust in modeling a wide variety of commonly observed nonlinear structural dynamic response behaviors. By streamlining the networks, individual network model parameters take on physically or geometrically interpretable meaning, and hence, the network initialization can be achieved through an engineered approach rather than through less physically meaningful numerical initialization schemes. Although not proven in general, examples show that by starting with a more meaningful initial design, identification convergence is improved, and the final identified model parameters are seen to have a more physical meaning. A set of model architecture prototypes is developed to capture commonly observed nonlinear response behaviors.