Women marching at a women's rights rally carrying sign reading "Don't call me girl"

Inscription: Verso: women's rights demonstration, New York.

Ultrafast charge-transfer in organic photovoltaic interfaces: geometrical and functionalization effects

Understanding the microscopic mechanisms of electronic excitation in organic photovoltaic cells is a challenging problem in the design of efficient devices capable of performing sunlight harvesting. Here we develop and apply an ab initio approach based on time-dependent density functional theory and Ehrenfest dynamics to investigate photoinduced charge transfer in small organic molecules. Our calculations include mixed quantum–classical dynamics with ions moving classically and electrons quantum mechanically, where no experimental external parameter other than the material geometry is required. We show that the behavior of photocarriers in zinc phthalocyanine (ZnPc) and C60 systems, an effective prototype system for organic solar cells, is sensitive to the atomic orientation of the donor and the acceptor units as well as the functionalization of covalent molecules at the interface. In particular, configurations with the ZnPc molecules facing on C60 facilitate charge transfer between substrate and molecules that occurs within 200 fs. In contrast, configurations where ZnPc is tilted above C60 present extremely low carrier injection efficiency even at longer times as an effect of the larger interfacial potential level offset and higher energetic barrier between the donor and acceptor molecules. An enhancement of charge injection into C60 at shorter times is observed as binding groups connect ZnPc and C60 in a dyad system. Our results demonstrate a promising way of designing and controlling photoinduced charge transfer on the atomic level in organic devices that would lead to efficient carrier separation and maximize device performance.

Improving interfaces for nerve repair

Autologous nerve grafts are the current gold standard for the repair of peripheral nerve injuries. However, there is a need to develop an alternative to this technique, as donor-site morbidities such as neuroma formation and permanent loss of function are a few of the limitations concerned with this technique. Artificial nerve conduits have therefore emerged as an alternative for the repair of short peripheral nerve defects of less than 30 mm, however they do not surpass autologous nerve grafts clinically. To develop a nerve conduit that supports regeneration over long nerve gaps and in large diameter nerves, researchers have focused on functionalizing of the conduits by studying the components that enhance nerve regeneration such as micro/nano-topography, growth factor delivery systems, supportive cells and extracellular matrix (ECM) proteins as well as understanding the complex biological reactions that take place during peripheral nerve regeneration. This thesis presents strategies to improve peripheral nerve interfaces to better the regenerative potential by using dorsal root ganglions (DRGs) isolated from neonatal rats as an in vitro model of nerve regeneration. The work started off by investigating the usefulness of a frog foam protein Ranaspumin-2 (Rsn2) to coat biomaterials for compatibility, this lead to the discovery of temporary cell adhesion on polydimethylsiloxane (PDMS), which was investigated as a suitable tool to derive cell-sheets for nerve repair. The influence of Rsn2 anchored to specific adhesion peptide sequences, such as isoleucine-lysine-valine-alanine-valine (IKVAV), a sequence derived from laminin proven to promote cell adhesion and neurite outgrowth, was tested as a useful means to influence nerve regeneration. This approach improves the axonal outgrowth and maintains outgrowth long term. Based on the hypothesis that combinational modulation of substrate topography, stiffness and neurotrophic support, affects axonal outgrowth in whole DRGs, dissociated DRGs were used to assess if these factors similarly act at the single cell level. Rho associated protein kinase (ROCK) and myosin II inhibitors, which affect cytoskeletal contractility, were used to influence growth cone traction forces and have shown that these factors work in combination by interfering with growth cone dynamic creating a different response in axonal outgrowth at the single cell level.

Detecting Motifs in System Call Sequences

The search for patterns or motifs in data represents an area of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pattern identification tool that is able to identify unknown motifs which repeat within time series data. The power of the algorithm is derived from its use of a small number of parameters with minimal assumptions. The algorithm searches from a completely neutral perspective that is independent of the data being analysed and the underlying motifs. In this paper the motif tracking algorithm is applied to the search for patterns within sequences of low level system calls between the Linux kernel and the operating system’s user space. The MTA is able to compress data found in large system call data sets to a limited number of motifs which summarise that data. The motifs provide a resource from which a profile of executed processes can be built. The potential for these profiles and new implications for security research are highlighted. A higher level system call language for measuring similarity between patterns of such calls is also suggested.

Reducing the global burden of depression : population level analysis of intervention cost-effectiveness in 14 world regions

International evidence on the cost and effects of interventions for reducing the global burden of depression remain scarce. Aims: To estimate the population-level cost-effectiveness of evidence-based depression interventions and their contribution towards reducing current burden. Method: Primary-care-based depression interventions were modelled at the level of whole populations in 14 epidemiological subregions of the world. Total population-level costs (in international dollars or I$) and effectiveness (disability adjusted life years (DALYs) averted) were combined to form average and incremental cost-effectiveness ratios. Results: Evaluated interventions have the potential to reduce the current burden of depression by 10–30%. Pharmacotherapy with older antidepressant drugs, with or without proactive collaborative care, are currently more cost-effective strategies than those using newer antidepressants, particularly in lower-income subregions. Conclusions: Even in resource-poor regions, each DALYaverted by efficient depression treatments in primary care costs less than 1 year of average per capita income, making such interventions a cost-effective use of health resources. However, current levels of burden can only be reduced significantlyif there is a substantialincrease substantial increase intreatment coverage.