Horizon scanning for invasive alien species with the potential to threaten biodiversity in Great Britain

© 2014 The Authors. Global Change Biology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. The attached file is the published version of the article

Code generation by model transformation: A case study in transformation modularity

The realization of model-driven software development requires effective techniques for implementing code generators for domain-specific languages. This paper identifies techniques for improving separation of concerns in the implementation of generators. The core technique is code generation by model transformation, that is, the generation of a structured representation (model) of the target program instead of plain text. This approach enables the transformation of code after generation, which in turn enables the extension of the target language with features that allow better modularity in code generation rules. The technique can also be applied to ‘internal code generation’ for the translation of high-level extensions of a DSL to lower-level constructswithin the sameDSL using model-to-model transformations. This paper refines our earlier description of code generation by model transformation with an improved architecture for the composition of model-to-model normalization rules, solving the problem of combining type analysis and transformation. Instead of coarse-grained stages that alternate between normalization and type analysis, we have developed a new style of type analysis that can be integrated with normalizing transformations in a fine-grained manner. The normalization strategy has a simple extension interface and integrates non-local, context-sensitive transformation rules. We have applied the techniques in a realistic case study of domain-specific language engineering, i.e. the code generator for WebDSL, using Stratego, a high-level transformation language that integrates model-to-model, model-to-code, and code-to-code transformations.Software TechnologyElectrical Engineering, Mathematics and Computer Scienc

Targeting angiogenesis in melanoma: prospects for the future

Angiogenesis has been identified as a relevant target for melanoma experimental therapeutics, based on preclinical and clinical studies. A variety of angiogenesis inhibitors are currently being tested in both metastatic and adjuvant melanoma clinical trials. To date, the most promising evidence of benefit is based on a statistically nonsignificant trend in survival gain reported in a randomized phase II trial combining bevacizumab, a monoclonal antibody targeting vascular endothelial growth factor, with cytotoxic chemotherapy. Larger phase III studies are required to determine the true extent of clinical benefit with this class of agents. Key to these clinical trials is the need to include translational endpoints, since correlation of biological and clinical data will provide the opportunity to identify biomarkers predictive of treatment response. These biological studies will also aid our, as yet, poor understanding of the mechanism of action of angiogenesis inhibitors, as well as drug-related side effects. Finally, if these trials show meaningful clinical benefit, then careful consideration will need to be given when designing second-generation trials, in the light of novel gene-directed therapies currently showing promise in melanoma

Systematic review and consensus definitions for the Standardised Endpoints in Perioperative Medicine initiative: clinical indicators

Background: Clinical indicators are powerful tools to quantify the safety and quality of patient care. Their validity is often unclear and definitions extremely heterogeneous. As part of the International Standardised Endpoints in Perioperative Medicine (StEP) initiative, this study aimed to derive a set of standardised and valid clinical outcome indicators for use in perioperative clinical trials. Methods: We identified clinical indicators via a systematic review of the anaesthesia and perioperative medicine literature (PubMed/OVID, EMBASE, and Cochrane Library). We performed a three-stage Delphi consensus-gaining process that involved 54 clinician–researchers worldwide. Indicators were first shortlisted and the most suitable definitions for evaluation of quality and safety interventions determined. Indicators were then assessed for validity, reliability, feasibility, and clarity. Results: We identified 167 clinical outcome indicators. Participation in the three Delphi rounds was 100% (n=13), 68% (n=54), and 85% (n= 6), respectively. A final list of eight outcome indicators was generated: surgical site infection at 30 days, stroke within 30 days of surgery, death within 30 days of coronary artery bypass grafting, death within 30 days of surgery, admission to the intensive care unit within 14 days of surgery, readmission to hospital within 30 days of surgery, and length of hospital stay (with or without in-hospital mortality). They were rated by the majority of experts as valid, reliable, easy to use, and clearly defined. Conclusions: These clinical indicators can be confidently used as endpoints in clinical trials measuring quality, safety, and improvement in perioperative care. Registration: PROSPERO 2016 CRD42016042102 (http://www.crd.york.ac.uk/PROSPERO/display_record.php? ID=CRD42016042102).</p

Systematic review and consensus definitions for the Standardised Endpoints in Perioperative Medicine initiative : clinical indicators

Background: Clinical indicators are powerful tools to quantify the safety and quality of patient care. Their validity is often unclear and definitions extremely heterogeneous. As part of the International Standardised Endpoints in Perioperative Medicine (StEP) initiative, this study aimed to derive a set of standardised and valid clinical outcome indicators for use in perioperative clinical trials. Methods: We identified clinical indicators via a systematic review of the anaesthesia and perioperative medicine literature (PubMed/OVID, EMBASE, and Cochrane Library). We performed a three-stage Delphi consensus-gaining process that involved 54 clinician–researchers worldwide. Indicators were first shortlisted and the most suitable definitions for evaluation of quality and safety interventions determined. Indicators were then assessed for validity, reliability, feasibility, and clarity. Results: We identified 167 clinical outcome indicators. Participation in the three Delphi rounds was 100% (n=13), 68% (n=54), and 85% (n= 6), respectively. A final list of eight outcome indicators was generated: surgical site infection at 30 days, stroke within 30 days of surgery, death within 30 days of coronary artery bypass grafting, death within 30 days of surgery, admission to the intensive care unit within 14 days of surgery, readmission to hospital within 30 days of surgery, and length of hospital stay (with or without in-hospital mortality). They were rated by the majority of experts as valid, reliable, easy to use, and clearly defined. Conclusions: These clinical indicators can be confidently used as endpoints in clinical trials measuring quality, safety, and improvement in perioperative care. Registration: PROSPERO 2016 CRD42016042102 (http://www.crd.york.ac.uk/PROSPERO/display_record.php? ID=CRD42016042102)