Controversies about the combination of des-gamma-carboxyprothrombin (DCP) and alpha-fetoprotein (AFP) for hepatocellular carcinoma diagnosing still exist. Hence, we performed this updated meta-analysis to estimate the diagnostic value of DCP , AFP and DCP + AFP in HCC. In addition, we conducted a validation study to analyze the performance of the candidate makers. After a systematic literature ...

INTRODUCTION The aim of this study was to derive and internally validate a prediction rule for short stay admissions (SSAs) in trauma patients admitted to a major trauma centre. METHODS A retrospective study of all trauma activation patients requiring inpatient admission at a single inner city major trauma centre in Australia between 2007 and 2011 was conducted. Logistic regression was used t...

Objectives To develop and validate a delirium prediction model for adult intensive care patients and determine its additional value compared with prediction by caregivers. Design Observational multicentre study. Setting Five intensive care units in the Netherlands (two university hospitals and three university affiliated teaching hospitals). Participants 3056 intensive care patients aged 18 yea...

soil conservation service curve number method (scs-cn) is a widely applied technique for predicting direct runoff from rainfall has been used around the world. in this study, the curve number maps and entry physical model data of kheyrud basin to hec-hms model, the hec-geohms extension in arcgis software and google earth satellite images were used. in addition to the statistical analysis of sur...

the devastating impact of land use change in the watershed is increasing the generation rate of sediment and entrance to rivers and sedimentation in reservoirs. according to this, studying on impact of land use change on hydrological process is necessary. aim of this study was investigating the impact of land use change on suspended sediment during 1994 to 2010 by swat model in dinevar watershe...

Protein-protein interactions play a defining role in protein function. Identifying the sites of interaction in a protein is a critical problem for understanding its functional mechanisms, as well as for drug design. To predict sites within a protein chain that participate in protein complexes, we have developed a novel method based on the Hidden Markov Model, which combines several biological c...

OBJECTIVES To develop and validate a delirium prediction model for adult intensive care patients and determine its additional value compared with prediction by caregivers. DESIGN Observational multicentre study. SETTING Five intensive care units in the Netherlands (two university hospitals and three university affiliated teaching hospitals). PARTICIPANTS 3056 intensive care patients aged ...

Accurate and spatially-explicit maps of tropical forest carbon stocks are needed to implement carbon offset mechanisms such as REDD+ (Reduced Deforestation and Degradation Plus). The Random Forest machine learning algorithm may aid carbon mapping applications using remotely-sensed data. However, Random Forest has never been compared to traditional and potentially more reliable techniques such a...

MicroRNAs (miRNAs) play important roles in the pathogenesis and development of many complex diseases. The experimental confirmation of disease-related miRNAs is costly and time-consuming. An efficient and accurate computational model for identifying potential miRNA–disease associations is a useful supplement for experimental approaches. In this study, we develop a new method for measuring miRNA...

This paper presents the modeling and performance analysis in the integrated ad hoc and cellular network systems. In the modeling of the other integrated systems [7, 10, 12, 14, 17], the handoff area was not considered. However, for mobile communications, handoff area is important, complicated and unstable area that is the boundary of cells. In our system, handoff area and queue are taken into c...