Survey of challenges and best practice strategies for participant recruitment to research projects in northern ireland

Participant recruitment is understood to be one of the most difficult aspects of the research process. Researchers are now devoting increasing amounts of time and resources to understand how participants decide to take part in research and what researchers can do to make their work appeal to potential participants. The purpose of the study is to assess the problems experienced by researchers in Northern Ireland when recruiting human participants into trials and studies and to gain insight into how researchers handle and overcome these issues. The main research question being addressed by this research is to develop an understanding of the problems experienced by staff when recruiting human participants to research projects. Methods used to increase study recruitment were also examined. The participants in this research are investigators and other associated staff on research studies based in Northern Ireland. Potential participants were identified through contacts with research active organizations such as the academic researchers in Queen’s University Belfast and research physicians and clinical trialists employed by the Belfast Health and Social Care Trust. Each organization forwarded on the survey request via email or newsletters. Researchers willing to take part accessed the questionnaire through the Survey Monkey website. This study utilised a cross-sectional questionnaire design.

ASIP: developments, challenges and trends

Application Specific Instruction Set Processor (ASIP) becomes an attractive substitute for ASIC as transistor density, logic complexity and market competition boost. Similar to ASIC, ASIP is based on customized and tailored architectures. In this way, ASIP delivers high performances with low overheads on cost and power whilst taking the advantages of high flexibility and fast time-to-market as a processor-based solution. To demonstrate this effective solution for embedded applications, this paper performs an overall investigation on ASIP's developments, challenges, trends in terms of architectures and design methodologies.

Overcoming the Scalability Challenges of Epidemic Simulations on Blue Waters

Modeling dynamical systems represents an important application class covering a wide range of disciplines including but not limited to biology, chemistry, finance, national security, and health care. Such applications typically involve large-scale, irregular graph processing, which makes them difficult to scale due to the evolutionary nature of their workload, irregular communication and load imbalance. EpiSimdemics is such an application simulating epidemic diffusion in extremely large and realistic social contact networks. It implements a graph-based system that captures dynamics among co-evolving entities. This paper presents an implementation of EpiSimdemics in Charm++ that enables future research by social, biological and computational scientists at unprecedented data and system scales. We present new methods for application-specific processing of graph data and demonstrate the effectiveness of these methods on a Cray XE6, specifically NCSA's Blue Waters system.

Relationship between genome and epigenome - challenges and requirements for future research

Understanding the links between genetic, epigenetic and non-genetic factors throughout the lifespan and across generations and their role in disease susceptibility and disease progression offer entirely new avenues and solutions to major problems in our society. To overcome the numerous challenges, we have come up with nine major conclusions to set the vision for future policies and research agendas at the European level.

Attempting to rewrite History:Challenges with the analysis of histidine-phosphorylated peptides

A significant number of proteins in both eukaryotes and prokaryotes are known to be post-translationally modified by the addition of phosphate, serving as a means of rapidly regulating protein function. Phosphorylation of the amino acids serine, threonine and tyrosine are the focus of the vast majority of studies aimed at elucidating the extent and roles of such modification, yet other amino acids, including histidine and aspartate, are also phosphorylated. Although histidine phosphorylation is known to play extensive roles in signalling in eukaryotes, plants and fungi, roles for phosphohistidine are poorly defined in higher eukaryotes. Characterization of histidine phosphorylation aimed at elucidating such information is problematic due to the acid-labile nature of the phosphoramidate bond, essential for many of its biological functions. Although MSbased strategies have proven extremely useful in the analysis of other types of phosphorylated peptides, the chromatographic procedures essential for such approaches promote rapid hydrolysis of phosphohistidinecontaining peptides. Phosphate transfer to non-biologically relevant aspartate residues during MS analysis further complicates the scenario. © 2013 Biochemical Society.

Advances in GPCR modeling evaluated by the GPCR Dock 2013 assessment:Meeting new challenges

Despite tremendous successes of GPCR crystallography, the receptors with available structures represent only a small fraction of human GPCRs. An important role of the modeling community is to maximize structural insights for the remaining receptors and complexes. The community-wide GPCR Dock assessment was established to stimulate and monitor the progress in molecular modeling and ligand docking for GPCRs. The four targets in the present third assessment round presented new and diverse challenges for modelers, including prediction of allosteric ligand interaction and activation states in 5-hydroxytryptamine receptors 1B and 2B, and modeling by extremely distant homology for smoothened receptor. Forty-four modeling groups participated in the assessment. State-of-the-art modeling approaches achieved close-to-experimental accuracy for small rigid orthosteric ligands and models built by close homology, and they correctly predicted protein fold for distant homology targets. Predictions of long loops and GPCR activation states remain unsolved problems.