Discovery of structural and functional features in RNA pseudoknots

An RNA pseudoknot consists of nonnested double-stranded stems connected by single-stranded loops. There is increasing recognition that RNA pseudoknots are one of the most prevalent RNA structures and fulfill a diverse set of biological roles within cells, and there is an expanding rate of studies into RNA pseudoknotted structures as well as increasing allocation of function. These not only produce valuable structural data but also facilitate an understanding of structural and functional characteristics in RNA molecules. PseudoBase is a database providing structural, functional, and sequence data related to RNA pseudoknots. To capture the features of RNA pseudoknots, we present a novel framework using quantitative association rule mining to analyze the pseudoknot data. The derived rules are classified into specified association groups regarding structure, function, and category of RNA pseudoknots. The discovered association rules assist biologists in filtering out significant knowledge of structure-function and structure-category relationships. A brief biological interpretation to the relationships is presented, and their potential correlations with each other are highlighted.

Modelling inter-temporal aid allocation : a new application with a focus on Papua New Guinea

This paper models the inter-temporal allocation of foreign development aid to Papua New Guinea (PNG). A formal theoretical model of aid allocation is developed, in which aid to any one country is determined jointly with aid to all other recipient countries. This is recognized in the econometric application of this model, which involves simultaneously modelling aid to a number of countries in addition to PNG. Results based on data for the period 1969–99 indicate that both recipient need and donor interest variables determine the amount of foreign aid to PNG and most other countries under consideration.

A preliminary taxonomy of crowdsourcing

Many firms are now asking how they can benefit from the new form of outsourcing labelled “crowdsourcing”. Like many other forms of outsourcing, crowdsourcing is now being “talked up” by a somewhat credulous trade press. However, the term crowdsourcing has been used to describe several related, but different phenomena, and what might be successful with one form of crowdsourcing may not be with another. In this paper the notion of crowdsourcing is decomposed to create a taxonomy that expands our understanding of what is meant by the term. This taxonomy focuses on the different capability levels of crowdsourcing suppliers; different motivations; and different allocation of benefits. The management implications of these distinctions are then considered in light of what we know about other forms of outsourcing.

Exploring critical factors for achieving successful risk allocation in public-private partnership projects

Public Private Partnerships (PPP) as a procurement mechanism for infrastructure projects is becoming increasingly common. This is principally due to the value for money opportunities it offers the public sector sponsors. This value for money is primarily achieved through the optimisation of the allocation of risk inherent in the project being transferred from the public sector sponsors onto private sector bidders. This paper analyses the influence that these factors have on successful risk allocation with the aim of providing clearer parameters for optimal risk allocation in PPP projects. Through an extensive review of existing literature, the critical success factors for optimal risk allocation in PPP projects are identified. It is found that the optimisation of risk allocation in PPP projects is critically influenced by the identified factors, which will undoubtedly aid in the successful outcome for future PPP projects.

Facing up to the risks in commercially focused university-industry R&D partnerships

The number of university–industry R&D partnerships (UIPs) has increased significantly over the past decade, in most OECD countries and in Australia, yet the study of risk in such commercially focused collaborative ventures is still a developing area. This review paper seeks to contribute to debate on this increasingly important phenomenon by addressing three key areas of risks for universities in entering such collaborations. The commercialization of research findings presents particular risks to universities, most notably the possibility of financial loss, which has a greater impact than for companies in cross‐sector collaborations. Another major type of risk faced by universities is relational risk, and this can significantly alter the trust dynamics that underpin research and innovation. There are also institutional risks to universities and their research staff engaged in commercializable R&D and, ultimately, to their reputation as a neutral source of expertise. It is argued there is a need for universities in Australia to develop comprehensive policies to manage the risks of commercialization and R&D collaboration with industry partners.

A systematic approach to risk management for construction

Systematic risk management is expecting the unexpected – it is a tool which helps control risks in construction projects. Its objective is to introduce a simple, practical method of identifying, assessing, monitoring and managing risk in an informed and structured way. It provides guidance for implementing a risk control strategy that is appropriate to control construction projects at all levels. This paper will review systematic management approaches to risk. It discusses the allocation of risk and suggests that risk needs to be identified and managed early in the procurement process. In addition, a case study of a small project that was affected by difficult economic circumstances is included to demonstrate the effectiveness of systematic risk management.

Application of novel technologies in water reclamation, reuse and recycle

Water reuse has become an integral element of the "total water resources planning and management" along with the other elements such as water conservation, water use efficiency and management of the allocation of existing water sources. Researchers are working actively on the following aspects of water reuse: identification and characterization of different wastewaters that could be reclaimed, development of treatment technologies and effluent standards, quantification of potential gains due to recycling and risk management. The wastewaters that can be reclaimed are domestic and industrial wastewaters, grey water, black water, stormwater and rain water and their potential reuse lies in agriculture, aquaculture, industries, non-potable use in residential and community fronts and indirect and direct potable use. The treatment of wastewater ranges from secondary treatment to advanced treatment, which produces different "Classes" of reclaimed water. This paper evaluates the current status of the research on the above-mentioned important aspects of water reuse with relevant case studies and the future demand for reuse water. The direction in which the future-reuse schemes should be formulated so that they are safe, environmentally sustainable and cost effective are also discussed.

Quantifying the potential impacts of increasing agricultural fragmentation on land value

Societal expectations from rural lands have traditionally focused on the production of food and fibre. Yet the perception of rural areas is changing and they are now seen in many instances to be capable of delivering multiple functions or non‐commodity outputs including land conservation and the preservation of biodiversity, contributing to the sustainable management of renewable natural resources and enhancing the socio‐economic viability of many areas . The overall multi‐functionality is constrained or favoured by biophysical and socio‐economic drivers. As these types of drivers vary spatially and temporally, so does the functionality of the landscape and heterogeneous patterns emerge. Associated with multiple functions at a single location are a variety of pressures which can manifest themselves as conflict between interacting land uses. One such conflict in rural zones is that between agricultural use and residential use. Warrnambool City Council (WCC) is a Local Government Area (LGA) in southwest Victoria where the debate surrounding the best use of rural land is currently being debated. In a region where agriculture has historically been the mainstay of the economy there is some resistance to unplanned conversion to residential use. Despite concerns and much strategy being discussed it appears an investigation quantifying the impacts of these conversions is yet to be done. This paper addresses the issue of the allocation of land by using GIS mapping to incorporate economic, social and environmental attributes, and applying a theoretical economic framework for the optimal allocation of land to the comprehensive data set. Marginal values of land for competing purposes are estimated and discussed. The method is relevant for other regions where the rural/residential interface and associated planning decisions are highly topical.

Over-winter lipid depletion and mortality of age-0 rainbow trout (Oncorhynchus mykiss)

In this study we identify the size-dependent risk of winter starvation mortality as a strong selective pressure on age-0 rainbow trout (Oncorhynchus mykiss) that could promote the risk-taking behaviour and allocation of energy to lipids previously observed in young trout cohorts. Age-0 trout subjected to simulated winter starvation conditions gradually depleted lipid reserves to a critical minimum lipid content below which death occurred. Small fish with lower lipid content exhausted lipid reserves earlier, and experienced high mortality rates sooner, than larger fish with greater lipid content. Consequently, winter starvation endurance was dependent upon size-dependent lipid reserves and winter duration. To validate the laboratory findings in the field, we stocked several size classes of hatchery-raised trout with known lipid content at the start of winter into two experimental lakes, and estimated survival and lipid depletion at winter's end. Larger age-0 trout had greater initial lipid reserves than smaller trout. Individuals depleted most of their lipid reserves over the winter, and experienced mortality that ranged from just under 60% for the largest individuals to just over 90% of the smallest individuals. Many survivors had lipid contents near, but none were below, the minimum lipid content determined in the laboratory.

Debating the evidence : oral contraceptives containing drospirenone and risk of blood clots

Skepticism is an essential quality in science. We doubt, re-examine and demand the highest quality of evidence. However, sometimes this puts us in an awkward situation. How much evidence do we need before we act? This dilemma is a constant problem in drug safety. Treatment decisions are always a balance of risks and benefits and there may be a paucity of evidence about rare or very rare adverse events.

Nature, extent and antecedents of risk management in accounting, law and biotechnology firms in Australia

This paper provides empirical evidence on the nature and the extent of risks faced by small and medium-sized biotechnology and professional service firms (accounting and law) in Australia, as well as on the style of their adopted risk management methods and approaches. The findings of the study indicate that the top three risks faced by these firms are related to reputation, recruiting and retaining skilled staff, and cost management. The study also finds that more than half of the respondent firms manage risk in an integrated manner. The results of this study provide useful insights into the nature, extent and driving forces of risk management practices in these firms.

Scientific foundations for an IUCN red list of ecosystems

 An understanding of risks to biodiversity is needed for planning action to slow current rates of decline and secure ecosystem services for future human use. Although the IUCN Red List criteria provide an effective assessment protocol for species, a standard global assessment of risks to higher levels of biodiversity is currently limited. In 2008, IUCN initiated development of risk assessment criteria to support a global Red List of ecosystems. We present a new conceptual model for ecosystem risk assessment founded on a synthesis of relevant ecological theories. To support the model, we review key elements of ecosystem definition and introduce the concept of ecosystem collapse, an analogue of species extinction. The model identifies four distributional and functional symptoms of ecosystem risk as a basis for assessment criteria: a) rates of decline in ecosystem distribution; b) restricted distributions with continuing declines or threats; c) rates of environmental (abiotic) degradation; and d) rates of disruption to biotic processes. A fifth criterion, e) quantitative estimates of the risk of ecosystem collapse, enables integrated assessment of multiple processes and provides a conceptual anchor for the other criteria. We present the theoretical rationale for the construction and interpretation of each criterion. The assessment protocol and threat categories mirror those of the IUCN Red List of species. A trial of the protocol on terrestrial, subterranean, freshwater and marine ecosystems from around the world shows that its concepts are workable and its outcomes are robust, that required data are available, and that results are consistent with assessments carried out by local experts and authorities. The new protocol provides a consistent, practical and theoretically grounded framework for establishing a systematic Red List of the world’s ecosystems. This will complement the Red List of species and strengthen global capacity to report on and monitor the status of biodiversity.

Analysing stakeholder-associated risks in green buildings : a social network analysis method

In the research of risk associated with developing energy and water efficient green buildings, previous studies had mainly focused on "what the risks are and how the risks may impact on project objectives", which were from an inward looking self-perspective and treated the risks in isolation from one another. While intensive research efforts have been dedicated to risk identification, assessment, classification, prioritisation and mitigation, a research gap exists, that is previous studies had ignored the fact that most risks are interrelated and associated with internal or external project stakeholders. To remedy the gap, this current research developed and presented a SNA (Social Network Analysis) based stakeholder-associated risk analysis method to assess risks in green buildings and the interactions between the risks. A case study has been conducted to demonstrate and validate this method. This research contributes to the development of a new theory to model the interdependent and interactive relationships of risks by using SNA as a methodology. This research should broaden project managers' awareness of the influential risks in green building and enhance their ability to perceive, understand, assess, and mitigate the risks in an effective and efficient way, thereby achieving higher performance in strategic risk management and stakeholder communication in green building development.

In-hospital falls and fall-related injuries: a protocol for a cost of fall study

Background:
In-hospital falls are common and pose significant economic burden on the healthcare system. To date, few studies have quantified the additional cost of hospitalisation associated with an in-hospital fall or fall-related injury. The aim of this study is to determine  the additional length of stay and hospitalisation costs associated with in-hospital falls and fall-related injuries, from the acute hospital perspective.

Methods and design: 
A multisite prospective study will be conducted as part of a larger falls-prevention clinical trial—the 6-PACK project. This study will involve 12 acute medical and surgical wards from six hospitals across Australia. Patient and admission characteristics, outcome and hospitalisation cost data will be prospectively collected on approximately 15 000 patients during the 15-month study period. A review of all inhospital fall events will be conducted using a multimodal method (medical record review and daily verbal report from the nurse unit manager, triangulated with falls recorded in the hospital incident reporting and administrative database), to ensure complete case ascertainment. Hospital clinical costing data will be used to calculate patient-level hospitalisation costs incurred by a patient during their inpatient stay. Additional hospital and hospital resource utilisation costs attributable to inhospital falls and fall-related injuries will be calculated using linear regression modelling, adjusting for a prioridefined potential confounding factors.

Discussion:
This protocol provides the detailed statement of the planned analysis. The results from this study will be used to support healthcare planning, policy making and allocation of funding relating to falls prevention within acute hospitals.

Dynamic control of skilled and unskilled labour task assignments

Efficient allocation of skilled and non-skilled workers allow a company to improve productivity and usually requires an understanding of personnel capability, operating conditions and resource availability. This paper examines a labour control strategy that optimises labour skill level, utilisation, task execution time and processing error. The proposed controller manages different labour groups in a multiple work cell environment, providing real-time job assignment, as well as guiding and navigation features. These features can be used to enhance the performance of existing MRP-based or Just-In-Time production systems. A discrete event simulation-based manufacturing model has been developed to assess the performance of the labour controller. Experiments conducted for the selected production scenarios have demonstrated a productivity improvement when using the proposed control. A second experiment has shown that when a skilled labour uses the labour controller to guide them through the job, their utilisation also increases. The proposed controller also has potential application in other domains, such as minimising the shopping time at a supermarket