Nanowire dye-sensitized solar cells

Excitonic solar cells-including organic, hybrid organic-inorganic and dye-sensitized cells (DSCs)-are promising devices for inexpensive, large-scale solar energy conversion. The DSC is currently the most efficient and stable excitonic photocell. Central to this device is a thick nanoparticle film that provides a large surface area for the adsorption of light-harvesting molecules. However, nanoparticle DSCs rely on trap-limited diffusion for electron transport, a slow mechanism that can limit device efficiency, especially at longer wavelengths. Here we introduce a version of the dye-sensitized cell in which the traditional nanoparticle film is replaced by a dense array of oriented, crystalline ZnO nanowires. The nanowire anode is synthesized by mild aqueous chemistry and features a surface area up to one-fifth as large as a nanoparticle cell. The direct electrical pathways provided by the nanowires ensure the rapid collection of carriers generated throughout the device, and a full Sun efficiency of 1.5% is demonstrated, limited primarily by the surface area of the nanowire array.     

Gold nanoparticle-modified etched capillaries for open-tubular capillary electrochromatography

The use of gold nanoparticles in conjunction with etched capillary-based open-tubular capillary electrochromatography (OTCEC) to improve the efficiency of separation and the selectivity between selected solutes is described. The fused-silica capillaries (50-microm i.d.) were etched with ammonium hydrogen difluoride, followed by prederivatization of the new surface with (3-mercaptopropyl)trimethoxysilane (MPTMS) for the immobilization of dodecanethiol gold nanoparticles, for OTCEC. The electrochromatography of a "reversed-phase" test mixture and of selected polycylic aromatic hydrocarbons was investigated, and efficient separations and high theoretical plate numbers per meter were obtained. The electroosmotic flow characteristics of the etched gold nanoparticle capillary, unetched gold nanoparticle capillary, bare capillary, and etched bare capillary were studied by varying the percentage of organic modifier in buffer, buffer pH, and separation voltage. Optical microscopy and scanning electron microscopy were used to examine the process of etching and modification and the surface features of the etched gold nanoparticle capillary. The results confirm that dodecanethiol gold nanoparticles bonded on the etched inner wall of the fused-silica capillary can provide sufficient solute-bonded phase interactions to obtain OTCEC separations with reproducible retention, as well as characteristic reversed-phase behavior, even with the inner diameter of the capillary of 50 microm.     

NONMEMory: a run management tool for NONMEM

NONMEM is an extremely powerful tool for nonlinear mixed-effect modelling and simulation of pharmacokinetic and pharmacodynamic data. However, it is a console-based application whose output does not lend itself to rapid interpretation or efficient management. NONMEMory has been created to be a comprehensive project manager for NONMEM, providing detailed summary, comparison and overview of the runs comprising a given project, including the display of output data, simple post-run processing, fast diagnostic plots and run output management, complementary to other available modelling aids. Analysis time ought not to be spent on trivial tasks, and NONMEMory's role is to eliminate these as far as possible by increasing the efficiency of the modelling process. NONMEMory is freely available from http://www.uct.ac.za/depts/pha/nonmemory.php.     

Learning curves for stochastic gradient descent in linear feedforward networks

Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are sometimes used to overcome these difficulties. We analyze three online training methods used with a linear perceptron: direct gradient descent, node perturbation, and weight perturbation. Learning speed is defined as the rate of exponential decay in the learning curves. When the scalar parameter that controls the size of weight updates is chosen to maximize learning speed, node perturbation is slower than direct gradient descent by a factor equal to the number of output units; weight perturbation is slower still by an additional factor equal to the number of input units. Parallel perturbation allows faster learning than sequential perturbation, by a factor that does not depend on network size. We also characterize how uncertainty in quantities used in the stochastic updates affects the learning curves. This study suggests that in practice, weight perturbation may be slow for large networks, and node perturbation can have performance comparable to that of direct gradient descent when there are few output units. However, these statements depend on the specifics of the learning problem, such as the input distribution and the target function, and are not universally applicable.     

Comparison of stream merging algorithms for media-on-demand

Stream merging is a technique for efficiently delivering popular media-on-demand using multicast and client buffers. Recently, several algorithms for stream merging have been proposed, and in this paper we perform a comprehensive comparison of these algorithms. We present the differences in philosophy and mechanics among the various algorithms and illustrate the tradeoffs between their system complexity and performance. We measure performance in total, maximum, and time-varying server bandwidth usage under different assumptions for the client request patterns. We also consider the effects on clients when the server has limited bandwidth. The result of this study is a deeper understanding of the system complexity and performance tradeoffs for the various algorithms.Amotz Bar-Noy: This work was done in part while the author was a member of the AT&T Labs-Research, Shannon Lab, Florham Park, NJ.Justin Goshi: Corresponding author. This work was done in part at AT&T Labs-Research, Shannon Lab, Florham Park, NJ.Richard E. Ladner: This work was done in part at AT&T Labs-Research, Shannon Lab, Florham Park, NJ and partially supported by NSF grants No. CCR-9732828 and CCR-0098012.A preliminary version of this paper appeared in Multimedia Computing and Networking 2002.     

Efficient plagiarism detection for large code repositories

Unauthorized re‐use of code by students is a widespread problem in academic institutions, and raises liability issues for industry. Manual plagiarism detection is time‐consuming, and current effective plagiarism detection approaches cannot be easily scaled to very large code repositories. While there are practical text‐based plagiarism detection systems capable of working with large collections, this is not the case for code‐based plagiarism detection. In this paper, we propose techniques for detecting plagiarism in program code using text similarity measures and local alignment. Through detailed empirical evaluation on small and large collections of programs, we show that our approach is highly scalable while maintaining similar levels of effectiveness to that of the popular JPlag and MOSS systems. Copyright © 2006 John Wiley & Sons, Ltd.     

Risk Allocation by Law—Cumulative Impact of Change Orders

Change, defined as any event that results in a modification of the original scope, execution time, or cost of work, is inevitable on most construction projects due to the uniqueness of each project and the limited resources of time and money available for planning. There are many factors that may cause a change such as design errors, design changes, additions to the scope, or unknown conditions in the field. For each change, contractors are entitled to an equitable adjustment to the base contract price and schedule for all productivity impacts associated with the change. The focus of this paper is to outline the types of changes that can occur on a construction project and also to spell out the financial recovery possibilities that exist for the contractor for each type of change. There are many historical and current court decisions that shape the outcomes of such claims and determine who holds the risks associated with various project changes. Also, an effective cumulative impact claim contains certain vital elements upon which the final outcome will be determined by the legal system. Last, there are certain actions that a contractor and owner can do to either enhance or mitigate the effectiveness of a potential cumulative impact claim.     

Effects of estrogen and progesterone on the escalation of cocaine self-administration in female rats during extended access.

Estrogen increases and progesterone decreases the acquisition and reinstatement of cocaine-seeking behavior in female rats. Here estrogen and progesterone were studied for their effects on the escalation of cocaine self-administration in female rats. The rats received ovariectomy (OVX) or sham (SH) surgery and were treated with estradiol benzoate (0.05 mg/kg sc) and/or progesterone (0.5 mg/kg) or vehicle (indicated by E, P, and V), resulting in 5 groups: SH+V, SH+P, OVX+V, OVX+E, OVX+E+P. Rats self-administered intravenous cocaine (0.4 mg/kg) under a fixed ratio 1 (FR 1) schedule during 2-hr sessions and were then given 6-hr sessions (long access; LgA) (FR 1) for 21 days. After LgA, self-administration was reassessed with 2-hr sessions under the FR 1 and a progressive ratio schedule with 4 cocaine doses. There were no differences among the 5 groups in cocaine self-administration during initial 2-hr sessions. During LgA, the SH+V, OVX+E, and OVX+V groups escalated their cocaine self-administration, whereas the OVX+E+P and SH+P groups did not. Estradiol increased escalation in the OVX+E group compared with the OVX+V group, and progesterone (SH+P) reduced escalation compared with the SH+V group. When estrogen and progesterone were both administered in OVX rats (OVX+E+P), escalation was significantly lower than in the OVX+E group. Cocaine infusions during the 2-hr sessions were significantly higher after escalation than before in all groups except the progesterone-treated groups (SH+P and OVX+E+P). Estrogen promoted and progesterone inhibited escalation of cocaine self-administration, illustrating the importance of female gonadal hormones in drug-seeking behavior. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

In situ lamination of starch‐based baked foam packaging with degradable films

A technique for making biodegradable food service packaging comprising a starch–fibre core and a biodegradable film laminate is described. The biodegradable films were made of polylactic acid (PLA), polybutylene succinate/terephthalate (PBST), rubber latex and polybutylene adipate/terephthalate (PBAT). The technique involved an in situ process for laminating a baked foam product in a single step. A critical element of the in situ technique involved using a heat insulating fibre sheet to stabilize heat‐sensitive laminate films during the baking/lamination process. The PLA‐, PBST‐ and PBAT‐laminated samples were baked for 6min at 120°C. The latex‐laminated sample, which was much more heat‐stable, did not need the insulating sheet and was baked for 3min at 160°C. Starch‐based foam laminated with PLA, PBST or PBAT generally had higher density and greater tensile and flexural strength than the non‐laminated control. Starch foam laminated with a rubber latex film had tensile and flexural properties similar to the non‐laminated control, due to the low modulus and elasticity of the latex film. The in situ lamination process improved the adhesion of the starch foam core with the fibre sheet, PLA and latex films compared to a post‐lamination process. All of the laminate materials provided a low water vapour permeance. The films degraded in a compost mixture but at a much slower rate compared to starch. Copyright © 2006 John Wiley & Sons, Ltd.     

Finite-element modeling of needle electrodes in tissue from the perspective of frequent model computation

Information about electric field distribution in tissue is very important for effective electropermeabilization. In heterogeneous tissues with complex geometry, finite-element (FE) models provide one of alternative sources of such information. In the present study, modeling of needle electrode geometry in the FE model was investigated in order to determine the most appropriate geometry by considering the need for frequent FE model computation present in electroporation models. The 8-faceted needle electrode geometry proposed--determined on a model with a single needle electrode pair by means of criteria function--consisted of the weighted sum of relative difference between measured and computed total current, the relative difference in CPU time spent on solving model, and the relative difference in cross section surface of electrodes. Such electrode geometry was further evaluated on physical models with needle arrays by comparison of computed total current and measured current. The agreement between modeled and measured current was good (within 9% of measurement), except in cases with very thin gel. For voltage above 50 V, a linear relationship between current and voltage was observed in measurements. But at lower voltages, a nonlinear behavior was detected resulting from side (electrochemical) effects at electrode-gel interface. This effect was incorporated in the model by introducing a 50-V shift which reduced the difference between the model and the measurement to less than 3%. As long as material properties and geometry are well described by FE model, current-based validation can be used for a rough model validation. That is a routine assay compared with imaging of electric field, which is otherwise employed for model validation. Additionally, current estimated by model, can be preset as maximum in electroporator in order to protect tissue against damage.