A horseshoe in the dynamics of a forced beam

N/

Horseshoes and Arnold Diffusion for Hamiltonian Systems on Lie Groups

Abstract not availabl

Grass control and minimum tillage herbicides

Bromegrass. Wheat loss caused by bromegrass - 80WH47. Herbicides for bromegrass control - 80WH48. Bromegrass control - spraytop - 79NO41. Control of bromegrass – spraytop - 79BA59. Brome and barley grass control - 80NA62. Wild oats. Wild oat control - comparison of commercial treatments – 80NO44. Wild oat control - minimum tillage system - high challenge SITE - 80NO45. Ryegrass. Ryegrass control. Hoegrass effect of rates x volumes x times of application - 80SG41. Barley grass. Barley grass control in wheat - 80SG40. Pasture manipulation. Pasture manipulation - grass reduction - 79A31. Pasture manipulation - rates of herbicide - 80AB3. 80NA53. Herbicides for grass control in pasture, rates and times - 80A37,80BA39. Grass control herbicide in pastures - 80NA51. Herbicide for grass control in pastures - 80M036. Atrazine in cereals. Atrazine mixtures for cereals - 80M044. Minimum tillage herbicides. Herbicide requirement for minimum tillage systems - 80A38. Minimum tillage herbicides - 80BA41. Post planting - pre-emergent. Herbicides for minimum tillage systems - 80A41. Minimum tillage herbicides - knockdown - 80BA40. Herbicides for minimum tillage - pre-plant - 80A40. Herbicides for minimum tillage. pre-plant, with some knockdown - 80N23. Herbicides for minimum tillage - 80WH46

Low cost cereal herbicides - Pasture manipulation - Annual ryegrass toxicity - Herbicides for Direct Drilling - Hoegrass application methods - Annual ryegrass herbicides

79N46 Possible cereal herbicides – low cost mixtures, Tincurrin 79MO52 Possible cereal herbicides – low cost mixtures, Bolgart 79KA46 Possible cereal herbicides – low cost mixtures, Katanning 79NA39 Pasture manipulation – barley grass control 79NO28 Pasture manipulation, Goomalling 79MO50 Pasture manipulation – grass reduction – examination of known systems, Moora 79AR47 Pasture manipulation – grass control and herbicide residues, South Sterlings 79BA57 Pasture manipulation – rates of herbicides, Badgingarra Research Station 79A31 Pasture manipulation – grass reduction, Avondale Research Station 79KA47 Spraytop – Graze – control of annual ryegrass toxicity, Katanning 79BA56 Herbicides for direct drilling, Badgingarra Research Station 79A30 Weed control in various cultural systems, Avondale Research Station 79N20 Herbicides for early planting, Newdegate Research Station paddock 3 79N22 Comparison of pre-emergent ryegrass herbicides with some post-emergent herbicides, Newdegate Research Station 79WH56 Comparison of pre-emergent ryegrass herbicides with some post-emergent herbicides, Wongan Hills Research Station 79LG28 Ryegrass control in minimum tillage systems, Karlgarin 79NA42 Application methods hoegrass, Yealerin

Spraytop/barley control, ryegrass herbicides, bromegrass control

Trials reported Spraytop control of bromegrass - 80NO50, 80BA45. Spraytop control of barley grass – 80NA65, 80NO51. Barley grass control - evaluation of Fixaven and Mataven – 81LG40, 81KA44. Pre- and post-emergent application of ryegrass herbicides – 81LG37. Bromegrass control Evaluation of herbicides effect on brome and crop – 81WH52. Evaluation of Glean – 81BA58, 81A53, 81WH51. Evaluation of Dual and Isopoturon – 81A52. Evaluation of Dual and Hoegrass – 80BA59. Screening herbicides for brome control – 81BA57. Evaluation of Glean - 81WH54, 81N27. Tank mixes for minimum tillage – 81M50, 81A56, 81N28, 81NA41. Evaluation of Sencor, Diuron, Trifluralin tank mixes - 81A57, 81BA60. Sencor for minimum tillage - 81A55. Evaluation of SSH0860, Laso and Dual – 81WH53. Evaluation 2,4-D Sprayseed tank mixes – 81A54. Evaluation of Glean in oats – 81BA61, 81KA42. Pasture manipulation - herbicide screening – 81NR3 Guar gum - activation of Roundup and Sprayseed – 81NR2

Strengthening strategic management approaches to address antimicrobial resistance in global human health: a scoping review

Introduction The development and implementation of national strategic plans is a critical component towards successfully addressing antimicrobial resistance (AMR). This study aimed to review the scope and analytical depth of situation analyses conducted to address AMR in human health to inform the development and implementation of national strategic plans. Methods A systematic search of the literature was conducted to identify all studies since 2000, that have employed a situation analysis to address AMR. The included studies are analysed against frameworks for strategic analysis, primarily the PESTELI (Political, Economic, Sociological, Technological, Ecological, Legislative, Industry) framework, to understand the depth, scope and utility of current published approaches. Results 10 studies were included in the final review ranging from single country (6) to regional-level multicountry studies (4). 8 studies carried out documentary review, and 3 of these also included stakeholder interviews. 2 studies were based on expert opinion with no data collection. No study employed the PESTELI framework. Most studies (9) included analysis of the political domain and 1 study included 6 domains of the framework. Technological and industry analyses is a notable gap. Facilitators and inhibitors within the political and legislative domains were the most frequently reported. No facilitators were reported in the economic or industry domains but featured inhibiting factors including: lack of ring-fenced funding for surveillance, perverse financial incentives, cost-shifting to patients; joint-stock drug company ownership complicating regulations. Conclusion The PESTELI framework provides further opportunities to combat AMR using a systematic, strategic management approach, rather than a retrospective view. Future analysis of existing quantitative data with interviews of key strategic and operational stakeholders is needed to provide critical insights about where implementation efforts should be focussed, and also how to build contingency at the strategic level for agile responses to macro-level environmental influences

Risk perception of antimicrobial resistance by infection control specialists in Europe: a case-vignette study

Background Using case-vignettes, we assessed the perception of European infection control (IC) specialists regarding the individual and collective risk associated with antimicrobial resistance (AMR) among inpatients. Methods In this study, sixteen case-vignettes were developed to simulate hospitalised patient scenarios in the field of AMR and IC. A total of 245 IC specialists working in different hospitals from 15 European countries were contacted, among which 149 agreed to participate in the study. Using an online database, each participant scored five randomly-assigned case-vignettes, regarding the perceived risk associated with six different multidrug resistant organisms (MDRO). The intra-class correlation coefficient (ICC), varying from 0 (poor) to 1 (perfect), was used to assess the agreement for the risk on a 7-point Likert scale. High risk and low/neutral risk scorers were compared regarding their national, organisational and individual characteristics. Results Between January and May 2017, 149 participants scored 655 case-vignettes. The perceptions of the individual (clinical outcome) and collective (spread) risks were consistently lower than other MDRO for extended spectrum beta-lactamase producing Enterobacteriaceae cases and higher for carbapenemase producing Enterobacteriaceae (CPE) cases. Regarding CPE cases, answers were influenced more by the resistance pattern (93%) than for other MDRO. The risk associated with vancomycin resistant Enterococci cases was considered higher for the collective impact than for the individual outcome (63% vs 40%). The intra-country agreement regarding the individual risk was globally poor varying from 0.00 (ICC: 0–0.25) to 0.51 (0.18–0.85). The overall agreement across countries was poor at 0.20 (0.07–0.33). IC specialists working in hospitals preserved from MDROs perceived a higher individual (local, p = 0.01; national, p < 0.01) and collective risk (local and national p < 0.01) than those frequently exposed to bacteraemia. Conversely, IC specialists working in hospitals with a high MDRO clinical burden had a decreased risk perception. Conclusions The perception of the risk associated with AMR varied greatly across IC specialists and countries, relying on contextual factors including the epidemiology. IC specialists working in high prevalence areas may underestimate both the individual and collective risks, and might further negatively promote the MDRO spread. These finding highlight the need to shape local and national control strategies according to risk perceptions and contextual factors