Systems resemblance and workpractice evolution: implications for work activity (re)design

This paper is concerned with addressing the question of how apparently disparate and unconnected systems can resemble each other. The question of what counts as a systems resemblance necessitates developing contextual workpractice descriptions associated with the systems features and ultimately entire systems. Using systemic semiotics an apparent ontogenetic convergence between entirely different systems is used to show that systems resemblance can be inferred when the constituent workpractices of information systems consist of comparable register features and especially if they exhibit comparable generic features. The implications of these findings for a new class of work activity (re)design practices are considered

What\u27s in a user story: IS development methods as communication

This paper challenges claims made by Scrum proponents when characterising the communicative nature of user stories: including being more \u27authentic\u27 because they comprise spoken language and that they are stories. We argue and decisively demonstrate that neither can be upheld. By incorrectly characterising user stories, we miss opportunities to understand what they are and how they work during development. User stories are better understood by applying a functional theory of communication that emphasises how language is used. By selecting systemic functional linguistics, we can analyse user stories, and have developed a method for factoring unwanted epics into usable user stories

What’s in a User Story: IS Development Methods as Communication

This paper challenges claims made by Scrum proponents when characterising the communicative nature of user stories: including being more ‘authentic’ because they comprise spoken language and that they are stories. We argue and decisively demonstrate that neither can be upheld. By incorrectly characterising user stories, we miss opportunities to understand what they are and how they work during development. User stories are better understood by applying a functional theory of communication that emphasises how language is used. By selecting systemic functional linguistics, we can analyse user stories, and have developed a method for factoring unwanted epics into usable user stories

Generating Stakeholder Value Through Increasingly Hybridized Conferences: Insights from 30 Years of ACIS Conferences

In the last few years, changes to the Australasian Conference on Information Systems (ACIS) have accelerated in response to COVID-19, as well as climate change, technological advances, and trends in the tertiary sector. These underlying conditions have generated much discussion within annual conference committees and their partners. These discussions were ongoing before the pandemic but have increased in importance as a result of the pandemic and a trend towards hybridization and virtualization of some or all conference events. In this paper, we distill these ongoing discussions and apply them specifically to the issues identified in a recent AIS task force report on conference virtualization. We identify the stakeholders in the conference ecosystem and the risks they would incur from poor quality conference experiences. Through this analysis we provide 57 recommendations to mitigate the risks of a poor conference experience and to improve value-creation opportunities. We hope our recommendations and reflections can advance the debate and help conferences continuously adapt to their changing environment to realize their potential to generate value for their IS communities

Systems Resemblance and Workpractice Evolution: Implications for Work Activity (Re)design

Abstract This paper is concerned with addressing the question of how apparently disparate and unconnected systems can resemble each other. The question of what counts as a systems resemblance necessitates developing contextual workpractice descriptions associated with the systems features and ultimately entire systems. Using systemic semiotics an apparent ontogenetic convergence between entirely different systems is used to show that systems resemblance can be inferred when the constituent workpractices of information systems consist of comparable register features and especially if they exhibit comparable generic features. The implications of these findings for a new class of work activity (re)design practices are considered

Synthesis of satellite (MODIS), aircraft (ICARTT), and surface (IMPROVE, EPA-AQS, AERONET) aerosol observations over eastern North America to improve MODIS aerosol retrievals and constrain surface aerosol concentrations and sources

We use an ensemble of satellite (MODIS), aircraft, and ground-based aerosol observations during the ICARTT field campaign over eastern North America in summer 2004 to (1) examine the consistency between different aerosol measurements, (2) evaluate a new retrieval of aerosol optical depths (AODs) and inferred surface aerosol concentrations (PM2.5) from the MODIS satellite instrument, and (3) apply this collective information to improve our understanding of aerosol sources. The GEOS-Chem global chemical transport model (CTM) provides a transfer platform between the different data sets, allowing us to evaluate the consistency between different aerosol parameters observed at different times and locations. We use an improved MODIS AOD retrieval based on locally derived visible surface reflectances and aerosol properties calculated from GEOS-Chem. Use of GEOS-Chem aerosol optical properties in the MODIS retrieval not only results in an improved AOD product but also allows quantitative evaluation of model aerosol mass from the comparison of simulated and observed AODs. The aircraft measurements show narrower aerosol size distributions than those usually assumed in models, and this has important implications for AOD retrievals. Our MODIS AOD retrieval compares well to the ground-based AERONET data (R = 0.84, slope = 1.02), significantly improving on the MODIS c005 operational product. Inference of surface PM2.5 from our MODIS AOD retrieval shows good correlation to the EPA-AQS data (R = 0.78) but a high regression slope (slope = 1.48). The high slope is seen in all AOD-inferred PM2.5 concentrations (AERONET: slope = 2.04; MODIS c005: slope = 1.51) and could reflect a clear-sky bias in the AOD observations. The ensemble of MODIS, aircraft, and surface data are consistent in pointing to a model overestimate of sulfate in the mid-Atlantic and an underestimate of organic and dust aerosol in the southeastern United States. The sulfate overestimate could reflect an excessive contribution from aqueous-phase production in clouds, while the organic carbon underestimate could possibly be resolved by a new secondary pathway involving dicarbonyls

ACE-ASIA - Regional climatic and atmospheric chemical effects of Asian dust and pollution

Although continental-scale plumes of Asian dust and pollution reduce the amount of solar radiation reaching the earth's surface and perturb the chemistry of the atmosphere, our ability to quantify these effects has been limited by a lack of critical observations, particularly of layers above the surface. Comprehensive surface, airborne, shipboard, and satellite measurements of Asian aerosol chemical composition, size, optical properties, and radiative impacts were performed during the Asian Pacific Regional Aerosol Characterization Experiment (ACE-Asia) study. Measurements within a massive Chinese dust storm at numerous widely spaced sampling locations revealed the highly complex structure of the atmosphere, in which layers of dust, urban pollution, and biomass-burning smoke may be transported long distances as distinct entities or mixed together. The data allow a first-time assessment of the regional climatic and atmospheric chemical effects of a continental-scale mixture of dust and pollution. Our results show that radiative flux reductions during such episodes are sufficient to cause regional climate change

Synthesis of Satellite (MODIS), Aircraft (ICARTT), and Surface (IMPROVE, EPA-AQS, AERONET) Aerosol Observations over Eastern North America to Improve MODIS Aerosol Retrievals and Constrain Surface Aerosol Concentrations and Sources

We use an ensemble of satellite (MODIS), aircraft, and ground-based aerosol observations during the ICARTT field campaign over eastern North America in summer 2004 to (1) examine the consistency between different aerosol measurements, (2) evaluate a new retrieval of aerosol optical depths (AODs) and inferred surface aerosol concentrations $(PM_{2.5})$ from the MODIS satellite instrument, and (3) apply this collective information to improve our understanding of aerosol sources. The GEOS-Chem global chemical transport model (CTM) provides a transfer platform between the different data sets, allowing us to evaluate the consistency between different aerosol parameters observed at different times and locations. We use an improved MODIS AOD retrieval based on locally derived visible surface reflectances and aerosol properties calculated from GEOS-Chem. Use of GEOS-Chem aerosol optical properties in the MODIS retrieval not only results in an improved AOD product but also allows quantitative evaluation of model aerosol mass from the comparison of simulated and observed AODs. The aircraft measurements show narrower aerosol size distributions than those usually assumed in models, and this has important implications for AOD retrievals. Our MODIS AOD retrieval compares well to the ground-based AERONET data (R = 0.84, slope = 1.02), significantly improving on the MODIS c005 operational product. Inference of surface $PM_{2.5}$ from our MODIS AOD retrieval shows good correlation to the EPA-AQS data (R = 0.78) but a high regression slope (slope = 1.48). The high slope is seen in all AOD-inferred $PM_{2.5}$ concentrations (AERONET: slope = 2.04; MODIS c005: slope = 1.51) and could reflect a clear-sky bias in the AOD observations. The ensemble of MODIS, aircraft, and surface data are consistent in pointing to a model overestimate of sulfate in the mid-Atlantic and an underestimate of organic and dust aerosol in the southeastern United States. The sulfate overestimate could reflect an excessive contribution from aqueous-phase production in clouds, while the organic carbon underestimate could possibly be resolved by a new secondary pathway involving dicarbonyls.Engineering and Applied Science

Evidence for a Causal Role for \u3ci\u3eEscherichia coli\u3c/i\u3e Strains Identified as Adherent-Invasive (AIEC) in Intestinal Inflammation

Enrichment of adherent-invasive Escherichia coli (AIEC) has been consistently detected in subsets of inflammatory bowel disease (IBD) patients. Although some AIEC strains cause colitis in animal models, these studies did not systematically compare AIEC with non-AIEC strains, and causal links between AIEC and disease are still disputed. Specifically, it remains unclear whether AIEC shows enhanced pathogenicity compared to that of commensal E. coli found in the same ecological microhabitat and if the in vitro phenotypes used to classify strains as AIEC are pathologically relevant. Here, we utilized in vitro phenotyping and a murine model of intestinal inflammation to systematically compare strains identified as AIEC with those identified as non-AIEC and relate AIEC phenotypes to pathogenicity. Strains identified as AIEC caused, on average, more severe intestinal inflammation. Intracellular survival/replication phenotypes routinely used to classify AIEC positively correlated with disease, while adherence to epithelial cells and tumor necrosis factor alpha production by macrophages did not. This knowledge was then applied to design and test a strategy to prevent inflammation by selecting E. coli strains that adhered to epithelial cells but poorly survived/replicated intracellularly. Two E. coli strains that ameliorated AIEC-mediated disease were subsequently identified. In summary, our results show a relationship between intracellular survival/replication in E. coli and pathology in murine colitis, suggesting that strains possessing these phenotypes might not only become enriched in human IBD but also contribute to disease. We provide new evidence that specific AIEC phenotypes are pathologically relevant and proof of principle that such mechanistic information can be therapeutically exploited to alleviate intestinal inflammation