复方林可霉素滴鼻剂的体外抗菌作用及稳定性研究

复方林可霉素滴鼻剂是根据急慢性鼻炎的感染源及有关症状而研制，其主要组分为林可霉素、灭滴灵、地塞米松和消炎痛等。本品具有明显的消炎、消肿及有利于鼻腔分泌物排出的作用。体外抑菌试验表明其对４种常见致病菌株均具显著的抑菌作用，抗球菌的效能超过庆大、呋麻滴鼻剂，放置后效价稳定。     

预防流感的长效滴鼻剂

以色列哈达隆医学研究所发明了一种预防流感的长效滴鼻剂,它是通过鼻粘膜被吸收,既安全有效又使用方便,而且绝无副作用,每支的剂量连续滴七天(每天滴三次),就可以达到为期十年对流感预防免疫的效果。现已通过了对三万五千余名志愿者长达十年的跟踪观察,使用者在十年的观察期内无一人再次感染流感。这种疫苗将于2005年左右上市,这将是对经常困扰人们的流感是一个极有效的防御。预防流感的长效滴鼻剂     

智能材料在直升机上的应用

简要介绍智能材料的概念、组成及常见类型的特点。结合国外在相关领域试验研究概况，从四个方面分析了智能材料在直升机上的应用研究，并通过一些实例，说明智能材料对于改进直升机性能的重大意义。     

论中国技术竞争情报的研究进展及其应用前景

在对CTI内涵及其外延讨论的基础上,简要评述国外技术竞争情报(CTI)发展概况,总结了近年来中国CTI研究与应用的最新进展,并通过国内科技情报研究(STI)发展及演变进程的分析,认为今后围绕自主创新战略实施、推动国家/区域创新体系建设、知识产权保护与利用和技术标准的竞争等四个方面将成为中国CTI研究与应用的重点.     

公路软土地基路堤中碎石桩的施工工艺

通过介绍碎石桩在公路软土地基中的应用概况,详细论述了碎石桩的加固机理、设计原则及施工技术要点。     

蛋白质的PEG修饰

简述了蛋白质PEG修饰的研究概况,涉及PEG化学修饰反应的类型和影响因素,PEG修饰蛋白的性质、应用及局限性。     

水泥深层搅拌技术在北海地区的应用

本文简要介绍了深层搅拌技术的加固原理及发展概况、优点,并通过应用实例说明了水泥深层搅拌技术对北海地区的适用性。     

信息检索研究的发展与动向——对ACM SIGIR信息检索年会的主题分析

通过对信息检索领域顶级的国际会议--美国计算机协会信息检索专业组织举办的324信息检索年会共354个主题收集、整理并分类,从理论、技术和应用3个方面归纳信息检索研究的发展概况.借助主题分析,总结信息检索领域的主要研究内容、研究热点及最新研究动向并对信息检索的发展趋势进行展望.     

网络信息资源评价研究综述

通过文献计量方法揭示了国内网络信息资源评价研究概况,并介绍了国内外网络信息资源评价研究的主要成果及发展趋势。     

注浆新工艺在岩土加固工程中的应用研究

本文研究了当前国内外注浆工艺发展概况及各个领域中的应用,分类解析影响注浆工艺的三个方面的因素,重点论述了注浆新工艺在岩土加固工程中的应用.     

Understanding the impact of commercialization on public support for scientific research: is it about the funding source or the organization conducting the research

This research examines the influence of commercialization on support for scientific research. It compares the effects of the funding source with the type of organization on public support for stem cell research. Using a national Australian telephone survey (n = 1000), the results reveal that support drops significantly when scientific research is funded by private rather than public interests, and even more so when it is conducted in a private company rather than a public university. Respondents' preference for university research was enhanced if they trusted universities, distrusted major companies and believed that the research would be beneficial. A preference for public funding was also associated with lower trust in companies and a belief that the research would benefit people. Implications of these results are discussed in relation to the challenge of maintaining public support in an increasingly commercialized research environment.     

The role of surface instability in electrical discharges from drops of alcohol and water in air at atmospheric pressure

A study of previous work on discharges from charged attached drops and from uncharged drops falling in electric fields shows that the surface electric intensities at these drops, when the discharges begin, satisfy the theoretical relations for surface instability. Glow discharges, if initially present, are conditioned by the surface deformation arising from instability. Experiments are described that indicate that the highly charged droplets ejected by an alcohol surface may have mobilities not much below those of normal air ions while such droplets coming from a water surface may have mobilities even greater than those of air ions. Calculations, by Stokes' Law, show such large mobilities for both kinds of drops to be possible. Further experiments show that under certain conditions the whole discharge current from an alcohol drop is carried solely by droplets of the liquid, resulting from surface instability, and under more restricted conditions the same may be true for a water drop.     

High-throughput sorting of drops in microfluidic chips using electric capacitance

We analyze a recently introduced approach for the sorting of aqueous drops with biological content immersed in oil, using a microfluidic chip that combines the functionality of electrowetting with the high throughput of two-phase flow microfluidics. In this electrostatic sorter, three co-planar electrodes covered by a thin dielectric layer are placed directly below the fluidic channel. Switching the potential of the central electrode creates an electrical guide that leads the drop to the desired outlet. The generated force, which deflects the drop, can be tuned via the voltage. The working principle is based on a contrast in conductivity between the drop and the continuous phase, which ensures successful operation even for drops of highly conductive biological media like phosphate buffered saline. Moreover, since the electric field does not penetrate the drop, its content is protected from electrical currents and Joule heating. A simple capacitive model allows quantitative prediction of the electrostatic forces exerted on drops. The maximum achievable sorting rate is determined by a competition between electrostatic and hydrodynamic forces. Sorting speeds up to 1200 per second are demonstrated for conductive drops of 160 pl in low viscosity oil.     

Vimentin networks at tunable ion-concentration in microfluidic drops

The structure and function of biological systems, for example, cells and proteins, depend strongly on their chemical environment. To investigate such dependence, we design a polydimethylsiloxane-based microfluidic device to encapsulate biological systems in picoliter-sized drops. The content of each individual drop is tuned in a defined manner. As a key feature of our method, the individual chemical composition is determined and related to the drop content. In our case, the drop content is imaged using microscopy methods, while the drops are immobilized to allow for long-time studies. As an application of our device, we study the influence of divalent ions on vimentin intermediate filament networks in a quantitative way by tuning the magnesium concentration from drop to drop. This way we are able to directly image the effect of magnesium on the fluorescently tagged protein in a few hundreds of drops. Our study shows that with increasing magnesium concentration in the drops, the compaction of the networks becomes more pronounced. The degree of compaction is characterized by different morphologies; freely fluctuating networks are observed at comparatively low magnesium concentrations of 5–10 mM, while with increasing magnesium concentration reaching 16 mM they develop into fully aggregated networks. Our approach demonstrates how a systematic study of interactions in biological systems can benefit from the exceptional controllability of microfluidic methods.     

A study towards fuzzy logic-based assessment of nasal harmony of rhinoplasty patients

A fuzzy logic-based model is used for generating an index which reflects the harmony of nasal proportions of a rhinoplasty patient. The index generated by the model is intended to be used as an objective tool for evaluating the harmony of nasal proportions of the patient. One of the possible uses of the index is to rate the nasal proportions of the patient relative to an ideal nose. Another possible use of the index is to generate a score for the patient before and after the rhinoplasty operation so that the improvement due to rhinoplasty operation can be determined objectively.     

果胶酶ROHAPECT VR—C对猕猴桃取汁和澄清的影响

研究了果胶酶ROHAPECT VR－C对猕猴桃出汁率、粘度、澄清度和冷热稳定性的影响，结果表明，此酶可以极大地改进猕猴桃果浆的出汁率和降低果汁的粘度，使果汁的澄清度加大，对冷冻和加热的稳定性加强。适用用作猕猴桃汁的加工，对猕猴桃浆的最佳应用条件为100g果浆加3PA果浆酶（相当于1000kg果浆加干酶60g），45℃下处理60min。     

Coalescing drops in microfluidic parking networks: A multifunctional platform for drop-based microfluidics

Multiwell plate and pipette systems have revolutionized modern biological analysis; however, they have disadvantages because testing in the submicroliter range is challenging, and increasing the number of samples is expensive. We propose a new microfluidic methodology that delivers the functionality of multiwell plates and pipettes at the nanoliter scale by utilizing drop coalescence and confinement-guided breakup in microfluidic parking networks (MPNs). Highly monodisperse arrays of drops obtained using a hydrodynamic self-rectification process are parked at prescribed locations in the device, and our method allows subsequent drop manipulations such as fine-gradation dilutions, reactant addition, and fluid replacement while retaining microparticles contained in the sample. Our devices operate in a quasistatic regime where drop shapes are determined primarily by the channel geometry. Thus, the behavior of parked drops is insensitive to flow conditions. This insensitivity enables highly parallelized manipulation of drop arrays of different composition, without a need for fine-tuning the flow conditions and other system parameters. We also find that drop coalescence can be switched off above a critical capillary number, enabling individual addressability of drops in complex MPNs. The platform demonstrated here is a promising candidate for conducting multistep biological assays in a highly multiplexed manner, using thousands of submicroliter samples.     

声纹鉴定中鼻塞语声的研究

声纹鉴定技术在侦查实践中具有越来越重要的应用价值．而伪装语声鉴定是其重要的研究方向之一。本研究从伪装语声之一的鼻塞语声入手．采集了二十位大学生的鼻塞语声和正常语声作为试验样本．利用俄罗斯圣彼得堡语音中心的（SIS）语音分析系统对其语谱图进行比对分析。研究结果表明对于带有鼻音音节的词．正常语声在宽带声纹图中的共振峰的时长比鼻塞语声的共振峰的时长要长。而对于非鼻音音节的词．普通语声和捏鼻语声的共振峰时长在语谱图上基本没有改变．     

Quantitative detection of cells expressing BlaC using droplet-based microfluidics for use in the diagnosis of tuberculosis

This paper describes a method for the quantitative detection of cells expressing BlaC, a β-lactamase naturally expressed by Mycobacterium tuberculosis, intended for the diagnosis of tuberculosis. The method is based on the compartmentalization of bacteria in picoliter droplets at limiting dilutions such that each drop contains one or no cells. The co-encapsulation of a fluorogenic substrate probe for BlaC allows the quantification of bacteria by enumerating the number of fluorescent drops. Quantification of 10 colony forming units per milliliter is demonstrated. Furthermore, the encapsulation of single cell in drops maintains the specificity of the detection scheme even when the concentration of bacteria that do not express BlaC exceeds that expressing BlaC by one million-fold.     

Multimodal data as a means to understand the learning experience

Most work in the design of learning technology uses click-streams as their primary data source for modelling & predicting learning behaviour. In this paper we set out to quantify what, if any, advantages do physiological sensing techniques provide for the design of learning technologies. We conducted a lab study with 251 game sessions and 17 users focusing on skill development (i.e., user's ability to master complex tasks). We collected click-stream data, as well as eye-tracking, electroencephalography (EEG), video, and wristband data during the experiment. Our analysis shows that traditional click-stream models achieve 39% error rate in predicting learning performance (and 18% when we perform feature selection), while for fused multimodal the error drops up to 6%. Our work highlights the limitations of standalone click-stream models, and quantifies the expected benefits of using a variety of multimodal data coming from physiological sensing. Our findings help shape the future of learning technology research by pointing out the substantial benefits of physiological sensing.