Reconciliation as Holistic Redemptive Transformation

Reconciliation is a word often used in Christian circles, but almost as often, it is not defined. Sometimes it is used to indicate intimacy with God, sometimes it means merely being nice to other people, and sometimes it refers to an ambiguous concept of justice. To avoid this conceptual reductionism, we can look to the work of 20th-century theologian Karl Barth, who wrote exhaustively on the concept of reconciliation as an ecology of multi-dimensional salvation -- personal, communal, and societal. For Barth, reconciliation means restored relationship in a theological and holistic sense, such that all reality is redemptively transformed by God in the work of the Son and Spirit through the people of God. Dr. Langford will discuss this ecology of transformation as a framework for thinking about reconciliation in a theological sense

Back to AI, Faith, and the Future

Four years ago, a group of SPU professors got together to study artificial intelligence and faith. They created a year-long research project to explore the impact of AI from various disciplinary perspectives and from the perspective of Christian faith. The project culminated in a collection of essays published as AI, Faith, and the Future: An Interdisciplinary Approach. Since the appearance of their book, due to the availability of generative AI tools such as ChatGPT, AI has become a hot topic. In this session, contributors to the book will revisit and update their thoughts about AI, faith, and the future

Coming Together and Ripple Mapping Effect: Are We Making a Difference?

Many institutions of higher education have initiatied efforts to address the need for racial understanding, often with little success. In 2018, the Extension Directors launched a system-wide initiative to address the challenges confronting the Land-Grant University System (LGU) as it struggled with the need for racial understanding both within the Extension System and within the communities Extension serves. Designed as a dialog-to-change process, Coming Together for Racial Understanding was designed to make a difference in our systems and our communities. Five years later, using Ripple Effect Mapping (REM) we have evidence that this process can make a difference in building understanding that leads to change in actions, practices, and policies

Agribusiness Sheep Updates - 2004 - Part 1

Proceedings of the Agribusiness Sheep Updates - 2004 Forward Dr Mark Dolling Manager, Sheep Industries and Pasture, Department of Agriculture Western Australia Keynotes Australian Wool Innovation Limited DR LEN STEPHENS AUSTRALIAN WOOL INNOVATION LIMITED (AWI) Commercialisation of Sheepmeat Eating Quality Outcomes, David Thomason, General Manger Marketing Meat & livestock Australia Limited PLENARY The Fitness of the Future Merino, Norm Adams and Shimin Liu, CSIRO Livestock Industries Ovine Johne’s Disease – Managing the Disease, Managing the Issues, PETER BUCKMAN, CHIEF VETERINARY OFFICER, DEPARTMENT OF AGRICULTURE WESTERN AUSTRALIA Animal Welfare – Changes in Latitudes Changes in Attitudes, Michael Paton and Dianne Evans, Department of Agriculture Western Australian. Live Sheep Exports, JOHN EDWARDS. CHAIRMAN, WESTERN AUSTRALIAN LIVE SHEEP EXPORTERS ASSOCIATION MeCustomising to the Needs of the Customer – Insights from the New Zealand Merino Experience, DR SCOTT CHAMPION, RESEARCH, DEVELOPMENT AND PRODUCT INNOVATION MANAGER, THE NEW ZEALAND MERINO COMPANY LIMITED Agribusiness Sheep Updates Conference -Economic and Financial Market Update Alan Langford, Economist, BankWest Concurrent sessions - Meeting the Market Breeding Wool to Address Consumer Requirements in Fabrics A.C. SCHLINK CSIRO Livestock Industries, J.C. GREEFF AND M. E. LADYMAN Department of Agriculture Western Australia Fibre Contribution to Retail Demand for Knitwear Melanie LadymanA and John StantonAB ADepartment of Agriculture Western Australia and BCurtin University of Technology Sustainable Merino, is this the Future for Merino? Stuart Adams, iZWool International P/L Meeting lamb Market Specs from Crossbred Ewes Dr. Neal Fogarty, NSW Agriculture and the Australian Sheep Industry CRC Use of Serial Body Weight Measurements in Prime Lamb Finishing Systems Matthew Kelly, CSIRO Livestock Industries, James Skerritt, Ian McFarland Department of Agriculture Western Australia, Australian Sheep Industry CR

Demystifying academics to enhance university-business collaborations in environmental science

In countries globally there is intense political interest in fostering effective university-business collaborations, but there has been scant attention devoted to exactly how an individual scientist's workload (i.e. specified tasks) and incentive structures (i.e. assessment criteria) may act as a key barrier to this. To investigate this an original, empirical dataset is derived from UK job specifications and promotion criteria, which distil universities' varied drivers into requirements upon academics. This work reveals the nature of the severe challenge posed by a heavily time-constrained culture; specifically, tension exists between opportunities presented by working with business and non-optional duties (e.g. administration and teaching). Thus, to justify the time to work with business, such work must inspire curiosity and facilitate future novel science in order to mitigate its conflict with the overriding imperative for academics to publish. It must also provide evidence of real-world changes (i.e. impact), and ideally other reportable outcomes (e.g. official status as a business' advisor), to feed back into the scientist's performance appraisals. Indicatively, amid 20-50 key duties, typical full-time scientists may be able to free up to 0.5 day per week for work with business. Thus specific, pragmatic actions, including short-term and time-efficient steps, are proposed in a "user guide"to help initiate and nurture a long-term collaboration between an early- to mid-career environmental scientist and a practitioner in the insurance sector. These actions are mapped back to a tailored typology of impact and a newly created representative set of appraisal criteria to explain how they may be effective, mutually beneficial and overcome barriers. Throughout, the focus is on environmental science, with illustrative detail provided through the example of natural hazard risk modelling in the insurance sector. However, a new conceptual model of academics' behaviour is developed, fusing perspectives from literature on academics' motivations and performance assessment, which we propose is internationally applicable and transferable between sectors. Sector-specific details (e.g. list of relevant impacts and user guide) may serve as templates for how people may act differently to work more effectively together

Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis.

Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis

Low-NO atmospheric oxidation pathways in a polluted megacity

The impact of emissions of volatile organic compounds (VOCs) to the atmosphere on the production of secondary pollutants, such as ozone and secondary organic aerosol (SOA), is mediated by the concentration of nitric oxide (NO). Polluted urban atmospheres are typically considered to be “high-NO” environments, while remote regions such as rainforests, with minimal anthropogenic influences, are considered to be “low NO”. However, our observations from central Beijing show that this simplistic separation of regimes is flawed. Despite being in one of the largest megacities in the world, we observe formation of gas- and aerosol-phase oxidation products usually associated with low-NO “rainforest-like” atmospheric oxidation pathways during the afternoon, caused by extreme suppression of NO concentrations at this time. Box model calculations suggest that during the morning high-NO chemistry predominates (95 %) but in the afternoon low-NO chemistry plays a greater role (30 %). Current emissions inventories are applied in the GEOS-Chem model which shows that such models, when run at the regional scale, fail to accurately predict such an extreme diurnal cycle in the NO concentration. With increasing global emphasis on reducing air pollution, it is crucial for the modelling tools used to develop urban air quality policy to be able to accurately represent such extreme diurnal variations in NO to accurately predict the formation of pollutants such as SOA and ozone

Seasonality of isoprene emissions and oxidation products above the remote Amazon

The Amazon rainforest is the largest source of isoprene emissions to the atmosphere globally. Under low nitric oxide (NO) conditions (i.e. at NO mixing ratios less than about 40 pptv), isoprene reacts rapidly with hydroxyl (OH) to form isoprene-derived peroxy radicals (ISOPOO), which subsequently react with the hydroperoxyl radical (HO2) to form isoprene epoxydiols (IEPOX). IEPOX compounds are efficient precursors to the formation of secondary organic aerosols (SOA). Natural isoprene emissions, therefore, have the potential to influence cloudiness, rainfall, radiation balance and climate. Here, we present the first seasonal analysis of isoprene emissions and concentrations above the Amazon based on eddy covariance flux measurements made at a remote forest location. We reveal the forest to maintain a constant emission potential of isoprene throughout the year (6.9 mg m-2 h-1). The emission potential of isoprene is calculated by normalising the measured fluxes to a set of standard conditions (303 K and 1500 mmol m-2 s-1). During the wet season a factor of two reduction in absolute emissions was observed but this is explained entirely on the basis of meteorology and leaf area index, not by a change in isoprene emissions potential. Using an innovative analysis of the isoprene fluxes, in combination with measurements of its oxidation products and detailed chemical box-modelling, we explore whether concentrations of IEPOX follow the same seasonal cycle as the isoprene precursor. Our analysis implies that during the dry season (Sep–Jan) air pollution from regional biomass burning provides a modest increase in NO concentrations (indirectly inferred from a combination of other anthropogenic tracer measurements and box-modelling) which creates a competing oxidation pathway for ISOPOO; rather than forming IEPOX, alternative products are formed with less propensity to produce aerosol. This competition decreases IEPOX formation rates by a factor of two in the dry season compared with a scenario with no anthropogenic NO pollution, and by 30% throughout the year. The abundance of biogenic SOA precursors in the Amazon appears not to be dictated by the seasonality of natural isoprene emissions as previously thought, but is instead driven by regional anthropogenic pollution which modifies the atmospheric chemistry of isoprene

Evaluating A Priori Ozone Profile Information Used in TEMPO Tropospheric Ozone Retrievals

Ozone (O3) is a greenhouse gas and toxic pollutant which plays a major role in air quality. Typically, monitoring of surface air quality and O3 mixing ratios is primarily conducted using in situ measurement networks. This is partially due to high-quality information related to air quality being limited from space-borne platforms due to coarse spatial resolution, limited temporal frequency, and minimal sensitivity to lower tropospheric and surface-level O3. The Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite is designed to address these limitations of current space-based platforms and to improve our ability to monitor North American air quality. TEMPO will provide hourly data of total column and vertical profiles of O3 with high spatial resolution to be used as a near-real-time air quality product. TEMPO O3 retrievals will apply the Smithsonian Astrophysical Observatory profile algorithm developed based on work from GOME, GOME-2, and OMI. This algorithm uses a priori O3 profile information from a climatological data-base developed from long-term ozone-sonde measurements (tropopause-based (TB) O3 climatology). It has been shown that satellite O3 retrievals are sensitive to a priori O3 profiles and covariance matrices. During this work we investigate the climatological data to be used in TEMPO algorithms (TB O3) and simulated data from the NASA GMAO Goddard Earth Observing System (GEOS-5) Forward Processing (FP) near-real-time (NRT) model products. These two data products will be evaluated with ground-based lidar data from the Tropospheric Ozone Lidar Network (TOLNet) at various locations of the US. This study evaluates the TB climatology, GEOS-5 climatology, and 3-hourly GEOS-5 data compared to lower tropospheric observations to demonstrate the accuracy of a priori information to potentially be used in TEMPO O3 algorithms. Here we present our initial analysis and the theoretical impact on TEMPO retrievals in the lower troposphere

Ozone Lidar Observations for Air Quality Studies

Tropospheric ozone lidars are well suited to measuring the high spatio-temporal variability of this important trace gas. Furthermore, lidar measurements in conjunction with balloon soundings, aircraft, and satellite observations provide substantial information about a variety of atmospheric chemical and physical processes. Examples of processes elucidated by ozone-lidar measurements are presented, and modeling studies using WRF-Chem, RAQMS, and DALES/LES models illustrate our current understanding and shortcomings of these processes