活性炭表面物理化学性质对溴酸盐吸附的影响

为了探求活性炭去除水中溴酸盐离子的吸附机理,研究活性炭表面物理化学性质对饮用水中溴酸盐去除的影响.选取唐山炭、新华炭和默克炭3种活性炭作为实验用炭,重点考察3种活性炭表面孔径大小、官能团分布的异同对溴酸盐吸附的影响,测定了3种活性炭吸附溴酸盐的吸附等温线.结果表明:含有中孔数量最多的默克炭对溴酸盐的吸附能力最强.此外,由于默克炭表面含有的内酯基官能团最多,也对溴酸盐的吸附能力起到了积极作用.默克炭的对溴酸盐的吸附能力最强,而新华炭的吸附能力最弱,唐山炭介于二者之间.     

Optical complexities of living cytoplasm--implications for live cell imaging and photo-micromanipulation techniques

The ability to manipulate the intracellular environment within living cells and to monitor the cytosolic chemical changes which occur during cell stimulation has lead to major advances in our understanding of how cells read and respond to their environment. Perhaps the most powerful suite of techniques for achieving these dual objectives is based on the use of light (photons). Because cells are 'transparent', light has been used to both interrogate and manipulate the chemistry inside living cells, exploiting technical advances in both the physical and biochemical sciences. However, cells are neither transparent nor homogeneous with respect to their optical properties. The interface between light and the living cell cytoplasm thus represent an important, yet largely ignored, interface. There has been no review of the optical properties of cytoplasm and little discussion about how the optical properties of living cytoplasm influence the outcome of such measurements and manipulations. In this short review, we discuss the importance of understanding the optical properties of cytoplasm for such techniques and how imperfections in experimental interpretation can arise.     

不同填料曝气生物滤池启动挂膜试验研究

不同填料曝气生物滤池在相同条件下进行挂膜试验。进水流向为上流式,挂膜方式为复合接种挂膜,即先用活性污泥闷曝接种,然后逐步提高进水流速,直到滤料表面形成稳定的生物膜。结果表明:33 d后挂膜成功,在温度为16～24℃,水力停留时间(HRT)为1 h,DO为6 mg/L的情况下,陶粒BAF对CODMn和NH3—N的去除率分别为23%和80%;沸石BAF的去除率分别为27%和84%;组合填料BAF去除效果最好,去除率分别为32%和92%。     

Icon identification in context: the changing role of icon characteristics with user experience

OBJECTIVE: This research examined the relative importance of icon characteristics in determining the speed and accuracy of icon identification. BACKGROUND: Studies to date have focused on the role of one or two icon characteristics when users first experience an icon set. This means that little is known about the relative importance of icon characteristics or how the role of icon characteristics might change as users gain experience with icons. METHODS: Thirty participants carried out an icon identification task over a long series of trials to simulate learning through experience. Icon characteristics investigated included semantic distance, concreteness, familiarity, and visual complexity. RESULTS: Icon characteristics were major determinants of performance, accounting for up to 69% of the variance observed in performance. However, the importance of icon characteristics changed with experience: Semantic distance is crucial initially while icon-function relationships are learned, but familiarity is important later because it has lasting effects on access to long-term memory representations. CONCLUSION: These findings suggest that icon concreteness may not be of primary importance when identifying icons and that semantic distance and familiarity may be more important. APPLICATION: Designers need to take into account icon characteristics other than concreteness when creating icons, particularly semantic distance and familiarity. The precise importance of the latter characteristics will vary depending on whether icons are rarely encountered or frequently used.     

An aging model for surface acoustic wave devices

The authors present a study of the phase-aging kinetics of a 591.2 MHz quartz-crystal surface acoustic wave (SAW) filter intended for application in an undersea telecommunication system. At aging temperatures from 50 to 140 degrees C, a previously established SAW-device aging model describes the time dependence of the phase aging. The results of an investigation of the temperature dependence of the coefficients in this aging model allows the authors to extend the model, capturing both the time and the temperature dependence of the degradation. They then identify and assess the sources of variation, or error, affecting the data and model, estimate the distributions of the errors, and incorporate these error distributions in the extended aging model. This leads to a composite aging model that describes the time and temperature dependence of the complete phase-aging distribution. The authors use this composite model to predict end-of-life phase-aging distributions, demonstrating that the devices exhibit the high level of stability required by the application.