Descriptions for Screen Actions:For both Action Buttons and these new reactive screen actions, we’ll be adding a description field to enable you to describe the role each of these actions has on your screen. As many of you know, descriptions are also critical for AI training so this is an...
The reference book states this patch "Commemorates an attempt to assemble a helicopter from spare parts for training exercise. It crashed within Bad Tolz." 5 1/8" (horizontal), mis-identified on the back, UnUsed...(sold) - - - - 10th Special Forces Group ODA-...
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Medical outcomes short-form health survey (SF-36) questionnaire in elderly hypertensive patients: effect of exercise trainingInstruments to assess quality of life (QOL) have been created to evaluate the impact of interventions on health, including Medical Outcomes Short-Form Health Survey (SF-36) ...
182 Nicholas Beckmanndie sich im Spannungsfeld zwischen Polizeigewalt, racial profiling, Rassis-mus, Depressionen und (OG-)Realness befinden. Es soll aufgezeigt werden,dass Gangsta-Rap auch »Consciouskann«, ohne dabei seine Wurzeln zu ver-gessen oder gar zu verraten. Ein solcher Zugriff er...
182 46 0 0 1 0PDF下载摘要 目的探讨中性粒细胞CD64指数联合微型营养评定量表(MNA-SF)评分对老年社区获得性肺炎患者预后的预测价值。 方法2020年1月至2021年12月在连云港市第二人民医院老年科住院的116例60周岁以上诊断为社区获得性肺炎的患者为研究对象。记录入院时的MNA-SF评分,以及第1、3天的C-反应蛋白(CRP...
36-ITEM SHORT FORM (SF-36)1. Background and references A 36-item short-form (SF-36) was constructed to survey health status in the Medical Outcomes Study (Ware & Shelbourne, 1992). The SF-36 was designed for use in clinical practice and research, health policy evaluations, and general...
Adjust the intensity of your workout with the 8-level magnetic resistance control system, allowing you to customize your exercise experience. Monitor your heart rate during your workout with the convenient pulse sensors located on the handlebars...
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However, the training process of Deep-Learning is usually slow and requires high-performance computing, capable of handling large datasets. The optimization of the training method can improve the learning rate of the Deep-Learning networks and result in a higher performance while using the same ...