Application of simulated annealing to data distribution for all-to-all comparison problems in homogeneous systems

Distributed systems are widely used for solving large-scale and data-intensive computing problems, including all-to-all comparison (ATAC) problems. However, when used for ATAC problems, existing computational frameworks such as Hadoop focus on load balancing for allocating comparison tasks, without careful consideration of data distribution and storage usage. While Hadoop-based solutions provide users with simplicity of implementation, their inherent MapReduce computing pattern does not match the ATAC pattern. This leads to load imbalances and poor data locality when Hadoop's data distribution strategy is used for ATAC problems. Here we present a data distribution strategy which considers data locality, load balancing and storage savings for ATAC computing problems in homogeneous distributed systems. A simulated annealing algorithm is developed for data distribution and task scheduling. Experimental results show a significant performance improvement for our approach over Hadoop-based solutions.

Distributed computing of all-to-all comparison problems in heterogeneous systems

The requirement of distributed computing of all-to-all comparison (ATAC) problems in heterogeneous systems is increasingly important in various domains. Though Hadoop-based solutions are widely used, they are inefficient for the ATAC pattern, which is fundamentally different from the MapReduce pattern for which Hadoop is designed. They exhibit poor data locality and unbalanced allocation of comparison tasks, particularly in heterogeneous systems. The results in massive data movement at runtime and ineffective utilization of computing resources, affecting the overall computing performance significantly. To address these problems, a scalable and efficient data and task distribution strategy is presented in this paper for processing large-scale ATAC problems in heterogeneous systems. It not only saves storage space but also achieves load balancing and good data locality for all comparison tasks. Experiments of bioinformatics examples show that about 89\% of the ideal performance capacity of the multiple machines have be achieved through using the approach presented in this paper.

Overcoming language barriers in healthcare: A protocol for investigating safe and effective communication when patients or clinicians use a second language

Background Miscommunication in the healthcare sector can be life-threatening. The rising number of migrant patients and foreign-trained staff means that communication errors between a healthcare practitioner and patient when one or both are speaking a second language are increasingly likely. However, there is limited research that addresses this issue systematically. This protocol outlines a hospital-based study examining interactions between healthcare practitioners and their patients who either share or do not share a first language. Of particular interest are the nature and efficacy of communication in language-discordant conversations, and the degree to which risk is communicated. Our aim is to understand language barriers and miscommunication that may occur in healthcare settings between patients and healthcare practitioners, especially where at least one of the speakers is using a second (weaker) language. Methods/Design Eighty individual interactions between patients and practitioners who speak either English or Chinese (Mandarin or Cantonese) as their first language will be video recorded in a range of in- and out-patient departments at three hospitals in the Metro South area of Brisbane, Australia. All participants will complete a language background questionnaire. Patients will also complete a short survey rating the effectiveness of the interaction. Recordings will be transcribed and submitted to both quantitative and qualitative analyses to determine elements of the language used that might be particularly problematic and the extent to which language concordance and discordance impacts on the quality of the patient-practitioner consultation. Discussion Understanding the role that language plays in creating barriers to healthcare is critical for healthcare systems that are experiencing an increasing range of culturally and linguistically diverse populations both amongst patients and practitioners. The data resulting from this study will inform policy and practical solutions for communication training, provide an agenda for future research, and extend theory in health communication.

Building resilient communities: Creating effective multi-channel communication during disaster response and recovery

Our aim is to examine evidence-based strategies to motivate appropriate action and increase informed decision-making during the response and recovery phases of disasters. We combine expertise in communication, consumer psychology and marketing, disaster and emergency management, and law. This poster presents findings from a social media work package, and preliminary findings from the focus group work package on emergency warning message comprehension.

Deathbed instructions and the assessment of capacity: A practical perspective

The assessment of capacity in the context of wills and advance care planning is a challenging task for modern practitioners with the increase in mentally disabling conditions, such as acquired brain injury. This challenge is only heightened in the situation where the assessment occurs at the client’s deathbed as there are the added elements of urgency, and emotional upheaval at the impending death of a loved one. This situation poses a minefield of problems a legal practitioner should be aware of, involving not only the assessment process but also potential professional liability issues. This presentation will address the practical considerations a legal professional should take into account when in this situation. We will focus on two discrete situations and the issues arising from them: first, where there has been an acquired brain injury and legal capacity is in question; and second, where a spinal injury has occurred which does not affect capacity, rather results in the inability to use conventional forms of communication to communicate his/her instructions. We will examine these case studies with a view to proposing a best practice model for legal practitioners when assessing capacity in this context.

Communication adaption in challenging simulations for student nurse midwives

Background Nurses and midwives must be able to adapt their behaviour and language to meet the health care needs of patients and their families in diverse and at times difficult circumstances. Methods This study of fourth year dual degree nurse midwives use Communication Accommodation Theory strategies to examine their use of language and discourse when managing a sequential simulation of neonatal resuscitation and bereavement support. Results The results showed that many of the students were slow to respond to the changing needs of the patient and family and at times used ineffectual and disengaging language. Conclusion Clinical simulation is a safe and effective method for nurses and midwives to experience and practice the use of language and discourse in challenging circumstances.

Half-truths and dirty secrets: Omissions in CSR communication

This paper introduces the notion of half-truths, a term used to describe the communication of technically truthful information that has been, or has the potential to be, undermined by the omission of key information. By using an illustrative, exemplar case this study shows how an organization’s transparency and credibility in relation to its corporate social responsibility communication can be undermined, despite presenting technically truthful information

Parenting and the behavior problems of young children with an intellectual disability: Concurrent and longitudinal relationships in a population-based study

We examined parenting behaviors, and their association with concurrent and later child behavior problems. Children with an intellectual disability (ID) were identified from a UK birth cohort (N  =  516 at age 5). Compared to parents of children without an ID, parents of children with an ID used discipline less frequently, but reported a more negative relationship with their child. Among children with an ID, discipline, and home atmosphere had no long-term association with behavior problems, whereas relationship quality did: closer relationships were associated with fewer concurrent and later child behavior problems. Increased parent-child conflict was associated with greater concurrent and later behavior problems. Parenting programs in ID could target parent-child relationship quality as a potential mediator of behavioral improvements in children.

A CCG virtual system for big data application communication costs analysis

Network topology and routing are two important factors in determining the communication costs of big data applications at large scale. As for a given Cluster, Cloud, or Grid system, the network topology is fixed and static or dynamic routing protocols are preinstalled to direct the network traffic. Users cannot change them once the system is deployed. Hence, it is hard for application developers to identify the optimal network topology and routing algorithm for their applications with distinct communication patterns. In this study, we design a CCG virtual system (CCGVS), which first uses container-based virtualization to allow users to create a farm of lightweight virtual machines on a single host. Then, it uses software-defined networking (SDN) technique to control the network traffic among these virtual machines. Users can change the network topology and control the network traffic programmingly, thereby enabling application developers to evaluate their applications on the same system with different network topologies and routing algorithms. The preliminary experimental results through both synthetic big data programs and NPB benchmarks have shown that CCGVS can represent application performance variations caused by network topology and routing algorithm.

Linear programming for large-scale Markov decision problems

We consider the problem of controlling a Markov decision process (MDP) with a large state space, so as to minimize average cost. Since it is intractable to compete with the optimal policy for large scale problems, we pursue the more modest goal of competing with a low-dimensional family of policies. We use the dual linear programming formulation of the MDP average cost problem, in which the variable is a stationary distribution over state-action pairs, and we consider a neighborhood of a low-dimensional subset of the set of stationary distributions (defined in terms of state-action features) as the comparison class. We propose a technique based on stochastic convex optimization and give bounds that show that the performance of our algorithm approaches the best achievable by any policy in the comparison class. Most importantly, this result depends on the size of the comparison class, but not on the size of the state space. Preliminary experiments show the effectiveness of the proposed algorithm in a queuing application.

We know this: How to apply what you already know to treat alcohol and other drug problems

Background Implementing effective AOD supports and treatments into our daily practice can occur via a range of strategies. While specialist treatments exclusively targeting pathways toward substance reduction are an option, it is often not within the scope of many psychologists working in generalist or tertiary mental health settings. Regardless of the perceived barriers for integrating AOD practice into our work, there are key principles and approaches that can be adopted to improve the outcomes for many clients. Aim Irrespective of the client’s perceived need to address AOD issues, significant substance use will impact on the development, prognosis and treatment of most mental health conditions. Embedding AOD practice across our clinical work requires an openness to consider evidence-based approaches for all levels of substance use. Method This presentation will outline a series of approaches that all practitioners can adopt, based on the principles of harm reduction and empowerment of client’s choice. An emphasis will be made toward outlining approaches that are consistent with best practice, easily accessible and do not require extensive resources to embed. Conclusion Applying effective AOD treatments as a standard treatment component is achievable for all practitioners and is essential for achieving better outcomes for a high proportion of the community accessing treatment from psychologists.

Increasing autonomy transparency through capability communication in multiple heterogeneous UAV management

Interest in the area of collaborative Unmanned Aerial Vehicles (UAVs) in a Multi-Agent System is growing to compliment the strengths and weaknesses of the human-machine relationship. To achieve effective management of multiple heterogeneous UAVs, the status model of the agents must be communicated to each other. This paper presents the effects on operator Cognitive Workload (CW), Situation Awareness (SA), trust and performance by increasing the autonomy capability transparency through text-based communication of the UAVs to the human agents. The results revealed a reduction in CW, increase in SA, increase in the Competence, Predictability and Reliability dimensions of trust, and the operator performance.

Editorial of "Communication Research and Practice, 1(3)"

For the third issue of Communication Research and Practice, we bring together a mix of submitted content and papers presented at events that were hosted under the auspices of the International Communication Association. Dal Yong Jin captures the dynamic and contradictory elements of both convergence and transmedia storytelling, and the ‘Korean Wave’, in his paper on webtoons. Exploring this distinctive online form of transmedia storytelling, Jin considers its evolution from the perspectives of digital content, political economy, convergent media and digital labour, and the tensions that surround its potential expansion into global cultural markets.

A three-dimensional hybrid smoothed finite element method (H-SFEM) for nonlinear solid mechanics problems

This paper presents a novel three-dimensional hybrid smoothed finite element method (H-SFEM) for solid mechanics problems. In 3D H-SFEM, the strain field is assumed to be the weighted average between compatible strains from the finite element method (FEM) and smoothed strains from the node-based smoothed FEM with a parameter α equipped into H-SFEM. By adjusting α, the upper and lower bound solutions in the strain energy norm and eigenfrequencies can always be obtained. The optimized α value in 3D H-SFEM using a tetrahedron mesh possesses a close-to-exact stiffness of the continuous system, and produces ultra-accurate solutions in terms of displacement, strain energy and eigenfrequencies in the linear and nonlinear problems. The novel domain-based selective scheme is proposed leading to a combined selective H-SFEM model that is immune from volumetric locking and hence works well for nearly incompressible materials. The proposed 3D H-SFEM is an innovative and unique numerical method with its distinct features, which has great potential in the successful application for solid mechanics problems.

Maintaining student engagement in a multidisciplinary allied health communication skills course

Effective communication is an important graduate capability for allied health students but there are few opportunities for students to engage with these skills in a dedicated manner at an undergraduate level. This paper reported on the use of active learning and relevance-building strategies to maintain student engagement in a multidisciplinary allied health communication skills course at an Australian university. Students (N = 736) completed an engagement survey during the first and final lecture. While most degree programs reported no difference in engagement across semester, nursing/paramedic students reported a significant decrease in student engagement. A perceived lack of disciplinary relevance may account for student disengagement in this group, illustrating the challenge of delivering an authentic learning experience whilst engaging students from diverse degree programs.