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您的检索式：作者名="Carla Davis"
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| 1 | Genomic Organization and Partial Duplication of the Human α7 Neuronal Nicotinic Acetylcholine Receptor Gene (CHRNA7)显示文摘 | Judith Gault Misi Robinson Ralph Berger Carla Drebing Judith Logel Jan Hopkins Ted Moore Suzette Jacobs Jennifer Meriwether Mun Jun Choi Eun Jung Kim Katy Walton Karin Buiting Ashley Davis Charles Breese Robert Freedman Sherry Leonard | 1998 | Genomics1998，，2： | 1 |
| 2 | 食物蛋白诱导性小肠结肠炎综合征诊断和治疗国际共识指南显示文摘食物蛋白诱导性小肠结肠炎综合征(food protein-induced enterocolitis, FPIES)是一种非IgE,细胞介导的食物过敏反应,其表现可以很严重,甚至导致休克。虽然该类过敏反应有潜在的严重性,但FPIES 的知晓率却较低;而且有关FPIES 病理生理学,诊断和治疗的高质量研究数据缺乏;其临床预后尚不明确。这篇国际共识由美国变态反应、哮喘和免疫学会(AAAAI)食物不良反应委员会和国际FPIES 协会宣传组召集组织国际工作组总结撰写。这是第一部基于临床证据的FPIES 国际指南,有助于提高FPIES 的临床诊治水平。当然未来还需要更多有关FPIES 患病率,病理生理学,诊断标志物和未来治疗方法的研究,以便为FPIES 患者提供更好的医疗服务。这些指南内容将会在获得更多证据后定期更新。 | Anna Nowak-We.grzyn MirnaChehade Marion E.Groetch Jonathan M.Spergel Robert A.Wood Katrina Allen Dan Atkins Sami Bahna Ashis V.Barad Cecilia Berin Terri Brown Whitehorn A.Wesley Burks Jean-Christoph Caubet Antonella Cianferoni Marisa Conte Carla Davis Alessandro Fiocchi Kate Grimshaw RNutr Ruchi Gupta Brittany Hofmeister J.B.Hwang Yitzhak Katz George N.Konstantinou Stephanie A.Leonard Jennifer Lightdale Sean McGhee Sami Mehr Stefano MiceliSopo Giovanno Monti Antonella Muraro Stacey Katherine Noel Ichiro Nomura Sally Noone Hugh A.Sampson Fallon Schultz Scott H.Sicherer Cecilia C.Thompson Paul J.Turner Carina Venter A.Amity Westcott-Chavez Matthew Greenhawt 李丽莎 钱家鸣 杨红 | 2018 | 中华临床免疫和变态反应杂志2018，12，1： | 0 |
| 3 | Recommendations for improved tropical cyclone formation and position probabilistic Forecast products显示文摘Prediction of the potentially devastating impact of landfalling tropical cyclones(TCs)relies substantially on numerical prediction systems.Due to the limited predictability of TCs and the need to express forecast confidence and possible scenarios,it is vital to exploit the benefits of dynamic ensemble forecasts in operational TC forecasts and warnings.RSMCs,TCWCs,and other forecast centers value probabilistic guidance for TCs,but the International Workshop on Tropical Cyclones(IWTC-9)found that the“pull-through”of probabilistic information to operational warnings using those forecasts is slow.IWTC-9 recommendations led to the formation of the WMO/WWRP Tropical Cyclone-Probabilistic Forecast Products(TC-PFP)project,which is also endorsed as a WMO Seamless GDPFS Pilot Project.The main goal of TC-PFP is to coordinate across forecast centers to help identify best practice guidance for probabilistic TC forecasts.TC-PFP is being implemented in 3 phases:Phase 1(TC formation and position);Phase 2(TC intensity and structure);and Phase 3(TC related rainfall and storm surge).This article provides a summary of Phase 1 and reviews the current state of the science of probabilistic forecasting of TC formation and position.There is considerable variability in the nature and interpretation of forecast products based on ensemble information,making it challenging to transfer knowledge of best practices across forecast centers.Communication among forecast centers regarding the effectiveness of different approaches would be helpful for conveying best practices.Close collaboration with experts experienced in communicating complex probabilistic TC information and sharing of best practices between centers would help to ensure effective decisions can be made based on TC forecasts.Finally,forecast centers need timely access to ensemble information that has consistent,user-friendly ensemble information.Greater consistency across forecast centers in data accessibility,probabilistic forecast products,and warnings and their communication to users will produce more reliable information and support improved outcomes. | Jason P.Dunion Chris Davis Helen Titley Helen Greatrex Munehiko Yamaguchi John Methven Raghavendra Ashrit Zhuo Wang Hui Yu Anne-Claire Fontan Alan Brammer Matthew Kucas Matthew Ford Philippe Papin Fernando Prates Carla Mooney Andrew Kruczkiewicz Paromita Chakraborty Andrew Burton Mark DeMaria Ryan Torn Jonathan L.Vigh | 2023 | Tropical Cyclone Research and Review2023，12，4： | 0 |
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