نتایج جستجو برای: intensive and semi

تعداد نتایج: 16864565  

Journal: :Respiratory care 2014
Motoi Ugajin Kenichi Yamaki Natsuko Hirasawa Takeo Yagi

BACKGROUND The semi-quantitative serum procalcitonin test (Brahms PCT-Q) is available conveniently in clinical practice. However, there are few data on the relationship between results for this semi-quantitative procalcitonin test and clinical outcomes of community-acquired pneumonia (CAP). We investigated the usefulness of this procalcitonin test for predicting the clinical outcomes of CAP in ...

Journal: :بهره برداری و پرورش آبزیان 0
اسماعیل تازیکه میاندره گرگان

abstractthe monitoring of the management of vannamei shrimp farms in the gomishan shrimp site in the best way and to its development. the objectives of the project were the calculation of growth indices, food conversion ratio.the final production of vannamei, benefit-cost or gross benefit of each farm.this study carried out in in 1391( 2012 ).data collection done through questionaries personall...

ژورنال: مرتع 2023

Background and objectives: Regular preparation of good quality forage and proper diet leads to cost-effective production of milk and meat. In Iran, insufficient supply and insufficient access to forage, as well as unbalanced consumption diets are the main limitations that negatively affect the ability to produce buffalo and therefore lead to uneconomical breeding of this animal. To overcome the...

2002
Stein Løkke Tomassen Frode Sørmo Jörg Cassens

This work examines how automatic generation of general domain knowledge from text can contribute to the knowledge intensive Case-Based Reasoning (CBR) system, Creek. This will be done by combining Creek with the ontology extraction tool CORPORUM to improve Creek’s ability to retrieve text. The ontology extraction tool is part of an architectural framework that is described. The framework descri...

2009
Martin Atzmüller Frank Puppe

This paper presents a methodological view on knowledge-intensive causal subgroup discovery implemented in a semi-automatic approach. We show how to identify causal relations between subgroups by generating an extended causal subgroup network utilizing background knowledge. Using the links within the network we can identify causal relations, but also relations that are potentially confounded and...

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