Describing knowledge encounters in healthcare: a mixed studies systematic review and development of a classification

This review was self-funded

Exploratory strategies and procedures to obtain non-visual overviews using TableVis

TableVis was developed to support computer users, who are blind or visually impaired in tasks that involve obtaining quick overviews of tabular data sets. An iterative design methodology led to a successful solution to this problem, as derived from evaluations of the interface and its associated techniques for interactive data sonification and support of exploratory processes. However, complex systems can be used creatively in a variety of ways, which are often different from those intended by their designers. Thus, it can be difficult to determine the specific reasons that make a complex interface successful. In an attempt to find a way around these limitations in the most commonly used usability test methodologies, the exploratory strategies and procedures employed by users in their evaluations of TableVis were analysed. These analyses provided a better understanding of the challenges in exploratory tasks from the perspective of users with visual impairments, and helped to identify both best practices and common problems, which form the basis for the next steps to be taken in this line of research

Detecting and Removing Data Artifacts in Hadamard Transform Ion Mobility-Mass Spectrometry Measurements

[Image: see text] Applying Hadamard transform multiplexing to ion mobility separations (IMS) can significantly improve the signal-to-noise ratio and throughput for IMS coupled mass spectrometry (MS) measurements by increasing the ion utilization efficiency. However, it has been determined that fluctuations in ion intensity as well as spatial shifts in the multiplexed data lower the signal-to-noise ratios and appear as noise in downstream processing of the data. To address this problem, we have developed a novel algorithm that discovers and eliminates data artifacts. The algorithm employs an analytical approach to identify and remove artifacts from the data, decreasing the likelihood of false identifications in subsequent data processing. Following application of the algorithm, IMS-MS measurement sensitivity is greatly increased and artifacts that previously limited the utility of applying the Hadamard transform to IMS are avoided

Documentary genre and digital recordkeeping: red herring or a way forward?

The purpose of this paper is to provide a preliminary assessment of the utility of the genre concept for digital recordkeeping. The exponential growth in the volume of records created since the 1940s has been a key motivator for the development of strategies that do not involve the review or processing of individual documents or files. Automation now allows processes at a level of granularity that is rarely, if at all, possible in the case of manual processes, without loss of cognisance of context. For this reason, it is timely to revisit concepts that may have been disregarded because of a perceived limited effectiveness in contributing anything to theory or practice. In this paper, the genre concept and its employability in the management of current and archival digital records are considered, as a form of social contextualisation of a document and as an attractive entry point of granularity at which to implement automation of appraisal processes. Particular attention is paid to the structurational view of genre and its connections with recordkeeping theory