237 research outputs found

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    The Relationship Between Senior Navy Civilian and Military Executives

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    The Shore Establishment of the Navy is managed by a mix of senior military and civilian personnel working closely together. There are many strengths in the system, including the different skills the managers bring to their position. Ideally, the knowledge of the operating forces and the fresh perspectives brought by the military officer are blended with the continuity and procedural and technical competence of the civilian. The relationship is not always smooth, however, and a first look is provided here

    The Future of Leisure Studies in Research Universities: Administrators\u27 Perspectives

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    This article summarizes the content of a three-day administrative summit held at Zion Ponderosa Resort in southern Utah in late September 2010. Department chairs, heads, and deans representing 13 universities across North America offering leisure studies doctoral degrees, master\u27s degrees, and undergraduate professional preparation degrees gathered to entertain eight multifaceted questions pertaining to their future. The questions were generated by a Delphi Process, and responses to the questions were recorded and analyzed following the summit by a team of doctoral students and professors from the University of Utah. The article concludes with a brief discussion of an administrator\u27s responsibility in leading leisure studies departments in times of fiscal austerity, and recommending a to-do list to ensure the future of leisure studies in public research universities

    Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in south Florida

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    IntroductionThe SARS-CoV-2 (COVID-19) pandemic has created substantial health and economic burdens in the US and worldwide. As new variants continuously emerge, predicting critical clinical events in the context of relevant individual risks is a promising option for reducing the overall burden of COVID-19. This study aims to train an AI-driven decision support system that helps build a model to understand the most important features that predict the “mortality” of patients hospitalized with COVID-19.MethodsWe conducted a retrospective analysis of “5,371” patients hospitalized for COVID-19-related symptoms from the South Florida Memorial Health Care System between March 14th, 2020, and January 16th, 2021. A data set comprising patients’ sociodemographic characteristics, pre-existing health information, and medication was analyzed. We trained Random Forest classifier to predict “mortality” for patients hospitalized with COVID-19.ResultsBased on the interpretability of the model, age emerged as the primary predictor of “mortality”, followed by diarrhea, diabetes, hypertension, BMI, early stages of kidney disease, smoking status, sex, pneumonia, and race in descending order of importance. Notably, individuals aged over 65 years (referred to as “older adults”), males, Whites, Hispanics, and current smokers were identified as being at higher risk of death. Additionally, BMI, specifically in the overweight and obese categories, significantly predicted “mortality”. These findings indicated that the model effectively learned from various categories, such as patients' sociodemographic characteristics, pre-hospital comorbidities, and medications, with a predominant focus on characterizing pre-hospital comorbidities. Consequently, the model demonstrated the ability to predict “mortality” with transparency and reliability.ConclusionAI can potentially provide healthcare workers with the ability to stratify patients and streamline optimal care solutions when time is of the essence and resources are limited. This work sets the platform for future work that forecasts patient responses to treatments at various levels of disease severity and assesses health disparities and patient conditions that promote improved health care in a broader context. This study contributed to one of the first predictive analyses applying AI/ML techniques to COVID-19 data using a vast sample from South Florida

    Crop Updates 2007 - Weeds

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    This session covers thirty two papers from different authors: 1. ACKNOWLEDGEMENTS, Alexandra Douglas CONVENOR – WEEDS DEPARTMENT OF AGRICULTURE AND FOOD WILD RADISH MANAGEMENT 2. Decimate a wild radish seed bank in five years, Peter Newman, Sally Peltzer, Abul Hashem and Aik Cheam, Department of Agriculture and Food 3. High level of seed-set control in wild radish is achievable, Aik Cheam and Siew Lee,Department of Agriculture and Food 4. Wild radish: Best management practice, Aik Cheam and Siew Lee, Department of Agriculture and Food 5. Control of phenoxy resistant wild radish through the combined effects of wheat competition and phenoxy herbicides, Natalie Maguire and Michael Walsh, WAHRI, School of Plant Biology, University of Western Australia 6.Efficacy of florasulam on chlorsulfuron resistant and susceptible wild radish populations in Western Australia, Michael Walsh1 and Dan Cornally2, 1WAHRI, School of Plant Biology, University of Western Australia, 2Dow Agrosciences Australia 7. Does liming to increase soil pH limit the growth and development of wild radish (Raphanus raphanistrum)Matt Willis and Michael Walsh, WAHRI, School of Plant Biology, University of Western Australia IWM TECHNIQUES AND SEEDBANKS 8. Weed trimming – a potential technique to reduce weed seed set, Glen Riethmuller, Abul Hashem and Shahab Pathan, Department of Agriculture and Food 9. Burn narrow windrows in the wind, Peter Newman1and Michael Walsh2, 1Department of Agriculture and Food, 2Research Fellow, WA Herbicide Resistance Initiative 10. Winning the Weed War with the Weed Seed Wizard! Michael Renton, Sally Peltzer and Art Diggle, Department of Agriculture and Food HERBICIDE RESISTANCE AND GENE FLOW 11. Frequency of herbicide resistance in wild oat (Avena fatua) across the Western Australian wheatbelt, Mechelle Owen and Stephen Powles, WA Herbicide Resistance Initiative, School of Plant Biology, University of Western Australia 12. Pollen mediated gene flow of herbicide resistance can occur over long distances doe annual ryegrass (Lolium rigidum): Results of two years with different meteorological conditions, Roberto Busi, Robert Barrett-Lennard and Stephen B. Powles, Western Australian Herbicide Resistance Initiative, School of Plant Biology – University of Western Australia 13. Doublegee has developed resistance to metsulfuron-methyl within WA wheatbelt, Dr Abul Hashem1and Dr Shahab Pathan2, 1Senior Research Officer, and 2Research Officer, Department Agriculture and Food 14. Another case of glyphosate resistance in annual ryegrass confirmes within Western Australia, Dr Abul Hashem1and Dr Shahab Pathan2, 1Senior Research Officer, and 2Research Officer, Department Agriculture and Food 15. Glyphosate resistance in the northern NSW – implications for Western Australian farming systems, Andrew Storrie, Tamworth Agricultural Institute, NSW Department of Primary Industries ALTERNATIVES TO TRIFLURALIN, KNOCKDOWNS, TANK MIXES AND NOVEL USES 16. Alternative pre-emergent herbicides to trifluralin for annual ryegrass control, Mr David Minkey and Dr Abul Hashem, Department of Agriculture and Food, 17. Evaluation of a new pre-emergent herbicide alternative dor the control of trifluralin resistant Lolium rigidum Gaudin (annual ryegrass) in wheat and barley, Craig A. Ruchs, Syngenta Crop Protection Australia Pty Ltd and Dr Peter Boutsalis, University of Adelaide 18. Novel knockdown tank mixes: Results from 12 trials over four years, Shahab Pathan1, Abul Hashem2, Catherine Borger3, Nerys Wilkins and Julie Roche, Department of Agriculture and Food, Western Australia, and 3the University of Western Australia 19. Alternative herbicides for weed control in lupins, Peter Newman and Martin Harries, Department of Agriculture and Food 20. Novel use application of clopyealid in lupins, John Peirce, and Brad Rayner, Department of Agriculture and Food 21. A model to predict grass selective herbicide rates, John Moore, Department of Agriculture and Food CROP AND WEED MANAGEMENT 22. Inter-row weed control in wide row lupin using knockdown-based tank mixes, Dr Abul Hashem1, Ray Fulwood2 and Chris Roberts3, 1Senior Research Officer, Department of Agriculture and Food, 2Farmer, Meckering, WA, 3Technical Officer, Department of Agriculture and Food 23. Timing of weed removal in wide-row lupins, Sally Peltzer, Shahab Pathan and Paul Matson, Department of Agriculture and Food 24. The effect of row spacing and crop density on competitiveness of lupins with wild radish, Bob French and Laurie Maiolo, Department of Agriculture and Food 25. Is delayed sowing a good strategy for weed management in lupins? Bob French, Department of Agriculture and Food 26. Delayed sowing as a strategy to manage annual ryegrass, Department of Agriculture and Food HERBICIDE TOLERANCE 27. The effect of herbicides on nodulation in lupins, Lorne Mills1, Harmohinder Dhammu2 and Beng Tan1, 1Curtin University of Technology, and 2Department of Agriculture and Food 28. Response of new wheat varieties to herbicides, Harmohinder Dhammu, Department of Agriculture and Food 29. Herbicide tolerance of new barley varieties, Harmohinder Dhammu, Vince Lambert and Chris Roberts, Department of Agriculture and Food 30. Herbicide tolerance of new oat varieties, Harmohinder Dhammu, Vince Lambert and Chris Roberts, Department of Agriculture and Food OTHER WEEDY MATTERS 31. Research and extension need for wild radish and other cruciferous weeds, Aik Cheam, Department of Agriculture and Food 32. e-weed – an information resource of seasonal weed management issues, Vanessa Stewartand Julie Roche, Department of Agriculture and Foo
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