conclusions the abovementioned ivc ultrasonographic criteria for hemodynamic congestion appear clearly inconsistent. alternatively, a sequential or simultaneous combination of clinical scores of congestion, ivc ultrasonographic indices, and circulating levels of natriuretic peptides could be warranted. background among the indices able to replace invasive central venous pressure (cvp) measureme...

This study was performed to determine whether the N-terminal pro-brain natriuretic peptide (NT-pro-BNP) is a useful biomarker in predicting cardiovascular congestion, mortality, and cardiovascular death and event in chronic peritoneal dialysis (PD) patients. A prospective cohort study was conducted in 230 chronic PD patients in a dialysis unit of a university teaching hospital. Serum NT-pro-BNP...

the method for measuring the congestion of noura et al. [a.a. noura, f. ‎hosseinzadeh lotfi, g.r. jahanshahloo, s. ‎fanati rashidi, r.p. barnett, a new method for measuring congestion in data envelopment analysis, socio-economic planning sciences, 44 (2010) 240-246] ,there is no problem for congestion detection in the case of one input and one output but in higher space is not able to detect co...

A Vehicular Ad-Hoc Networks (VANETs) is the technology that uses moving cars as nodes in a network to create a mobile network. VANETs turn every participating car into a wireless router, allowing cars of each other to connect and create a network with a wide range. VANETs are developed for enhancing the driving safety and comfort of automotive users. The VANETs can provide wide variety of servi...

Yogyakarta City is one of Indonesia's most popular tourist destinations. The tourism sector the highest tax revenue for local government. Besides, gives high but also negatively impacts citizens as hosts, such congestion and pollution. This study was conducted to determine importance level each attribute on quality air pollution management services in based citizen's perception by utilizing Imp...

Urban congestion has become a global problem with urbanization and motorization. The analysis of time-varying traffic patterns is necessary to formulate effective management strategies. existing studies have focused on flow developed by the volume, speed density road sections in limited district, while long-time macro network at city level inadequate. This paper aims recognize urban based perfo...

Traffic congestion is one of the most important issues in large cities, and overall travel speed an factor that reflects traffic status on road networks. This study proposes a hybrid deep convolutional neural network (CNN) method uses gradient descent optimization algorithms pooling operations for predicting short-term index urban networks based probe vehicles. First, input data are collected b...