J Appl Crystallogr
April 2021
is a Python-based graphical user interface designed to streamline viewing and analysis of images to monitor crystal growth, with a specific target to enable users of the High-Throughput Crystallization Screening Center at Hauptman-Woodward Medical Research Institute (HWI) to efficiently inspect their crystallization experiments. aims to increase efficiency, reducing time spent manually reviewing crystallization images, and to improve the potential of identifying positive crystallization conditions. provides a streamlined one-click graphical interface for the Machine Recognition of Crystallization Outcomes (MARCO) convolutional neural network for automated image classification, as well as powerful tools to view and score crystallization images, to compare crystallization conditions, and to facilitate collaborative review of crystallization screening results.
View Article and Find Full Text PDFNumerous educational studies have shown that passive learning methods are frequently associated with disappointing learning outcomes, yet many faculty instructors continue to rely on passive didactic lectures. This article describes the creation of an active learning teaching approach-referred to as the collaborative, case-based classroom-that combines three pedagogical strategies: peer-assisted learning, case-based learning, and just-in-time teaching. Data from student surveys of a third-year cardiology elective showed a preference for this teaching approach compared with a case-based lecture.
View Article and Find Full Text PDFObjectives: In March 2018, New Zealand (NZ) introduced standardised tobacco packaging that also featured new pictorial warnings, with implementation completed by early June 2018. We evaluated how the new packaging affected tobacco pack displays in outdoor areas of hospitality venues.
Design: Before-and-after descriptive field observation study.
Drug Discov Today
February 2019
The impact and value of structure-based drug design to pharmaceutical discovery across the industry are now undeniable, with many break-through therapies on the market that are structure based in nature. Enabling the structural research is the Industrial Macromolecular Crystallography Association-Collaborative Access Team (IMCA-CAT), formed over 25 years ago as a world-class research facility at the synchrotron at Argonne National Laboratory. What makes IMCA-CAT unique is the strategy of the founding consortium to comprehensively provide for the evolving needs of industry in one facility.
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