On Provable Algorithms for Determination of Continuous Protein Interdomain Motions from Residual Dipolar Couplings

Dynamics of biomolecules over various spatial and time scales are essential for biological functions such as molecular recognition, catalysis and signaling. However, reconstruction of biomolecular dynamics from experimental observables requires the determination of a conformational probability distribution. Unfortunately, these distributions cannot be fully constrained by the limited information from experiments, making the problem an ill-posed one in the terminology of Hadamard. The ill-posed nature of the problem comes from the fact that it has no unique solution. Multiple or even an infinite number of solutions may exist. To avoid the ill-posed nature, the problem needs to be regularized by making assumptions, which inevitably introduce biases into the result.

Here, I present two continuous probability density function approaches to solve an important inverse problem called the RDC trigonometric moment problem. By focusing on interdomain orientations we reduced the problem to determination of a distribution on the 3D rotational space from residual dipolar couplings (RDCs). We derived an analytical equation that relates alignment tensors of adjacent domains, which serves as the foundation of the two methods. In the first approach, the ill-posed nature of the problem was avoided by introducing a continuous distribution model, which enjoys a smoothness assumption. To find the optimal solution for the distribution, we also designed an efficient branch-and-bound algorithm that exploits the mathematical structure of the analytical solutions. The algorithm is guaranteed to find the distribution that best satisfies the analytical relationship. We observed good performance of the method when tested under various levels of experimental noise and when applied to two protein systems. The second approach avoids the use of any model by employing maximum entropy principles. This 'model-free' approach delivers the least biased result which presents our state of knowledge. In this approach, the solution is an exponential function of Lagrange multipliers. To determine the multipliers, a convex objective function is constructed. Consequently, the maximum entropy solution can be found easily by gradient descent methods. Both algorithms can be applied to biomolecular RDC data in general, including data from RNA and DNA molecules.

Transforming the psychological contract through a continuous innovation methodology

This paper introduces the Corporate Culture Change Cycle: a continuous innovation methodology for transforming the psychological contract in an organisational context. The eight step process is based on the action learning model. The purpose of this methodology is to benchmark the psychological contract against eight changing values of the employment relationship as a basis for facilitating a process of aligning the changing needs of employer and employee. Both the Corporate Culture Change Cycle and the New Employment Relationship Model have been validated in several organisational settings and subsequently refined. This continuous innovation methodology addresses gaps in the psychological contract, change management and continuous innovation research literatures. The approach therefore should be of interest to researchers in these fields of study and from a practical perspective for managers wishing to transform their workplace cultures.

Towards continuous surveillance of fruit flies using sensor networks and machine vision

In Australia, the Queensland fruit fly (B. tryoni), is the most destructive insect pest of horticulture, attacking nearly all fruit and vegetable crops. This project has researched and prototyped a system for monitoring fruit flies so that authorities can be alerted when a fly enters a crop in a more efficient manner than is currently used. This paper presents the idea of our sensor platform design as well as the fruit fly detection and recognition algorithm by using machine vision techniques. Our experiments showed that the designed trap and sensor platform is capable to capture quality fly images, the invasive flies can be successfully detected and the average precision of the Queensland fruit fly recognition is 80% from our experiment.

University library virtual reference services : best practices and continuous improvement

The inclusion or not of chat services within Virtual Reference (VR) is an important topic for university libraries. Increasingly, email supported by a Frequently Asked Questions (FAQ) database is suggested in the scholarly literature as the preferred, cost-effective means for providing university VR services. This paper examines these issues and identifies some best practices for university library VR services relating to chat and email service, collaborative service provision, services staffing, and staff training. Further studies are required to more completely identify best practices for the complete range of VR services.

Modified alternating direction methods for solving a two-dimensional non-continuous seepage flow with fractional derivatives

In this paper, a two-dimensional non-continuous seepage flow with fractional derivatives (2D-NCSF-FD) in uniform media is considered, which has modified the well known Darcy law. Using the relationship between Riemann-Liouville and Grunwald-Letnikov fractional derivatives, two modified alternating direction methods: a modified alternating direction implicit Euler method and a modified Peaceman-Rachford method, are proposed for solving the 2D-NCSF-FD in uniform media. The stability and consistency, thus convergence of the two methods in a bounded domain are discussed. Finally, numerical results are given.

Supply chain collaboration : capabilities for continuous innovation

Purpose – The purpose of this study is to investigate how collaborative relationships enhance continuous innovation in the supply chain using case studies. Design/methodology/approach – The data were collected from semi-structured interviews with 23 managers in ten case studies. The main intention was to comprehend how these firms engaged in collaborative relationships and their importance for successful innovation. The study adopted a qualitative approach to investigating these factors. Findings – The findings demonstrate how differing relationships can impact on the operation of firms and their capacities to innovate. The ability to work together with partners has enabled firms to integrate and link operations for increased effectiveness as well as embark on both radical and incremental innovation. Research limitations/implications – The research into the initiatives and strategies for collaboration was essentially exploratory. A qualitative approach using case studies acknowledged that the responses from managers were difficult to quantify or gauge the extent of these factors. Practical implications – The findings have shown various methods where firms integrated with customers and suppliers in the supply chain. This was evident in the views of managers across all the firms examined, supporting the importance of collaboration and efficient allocation of resources throughout the supply chain. They were able to set procedures in their dealings with partners, sharing knowledge and processes, and subsequently joint-planning and investing with them for better operations, systems and processes in the supply chain. Originality/value – The case studies serve as examples for managers in logistics organisation who are contemplating strategies and issues on collaborative relationships. The study provides important lessons on how such relationships can impact on the operation of firms and their capability to innovate. Keywords Supply chain management, Innovation, Relationship marketing