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To identify the best lung ventilation strategy for acute respiratory distress syndrome (ARDS), we performed a network meta-analysis. The Cochrane Central Register of Controlled Trials, EMBASE, MEDLINE, CINAHL, and the Web of Science were searched, and 36 eligible articles were included. Compared with higher tidal volumes with FiO2-guided lower positive(More)
INTRODUCTION There are approximately 19 million new cases of sepsis worldwide each year. Among them, more than one quarter of patients die. We aimed to assess the effects of heparin on short-term mortality in adult patients with sepsis and severe sepsis. METHODS We searched electronic databases (Medline, Embase, and Cochrane Library databases; the(More)
In this study, single-lung ventilation was used to detect differences in the volatile organic compound (VOCs) profiles between lung tissues in healthy and affected lungs. In addition, changes that occurred after lung cancer resection in both the VOCs profiles of exhaled breath from ipsilateral and contralateral lungs and the VOCs profiles of exhaled breath(More)
In recent years, researchers show considerable interests in identification of communities in complex networks. Diverse methods have been developed to address this problem. This paper presents a new algorithm for identifying communities in complex networks. The algorithm was inspired by studies on the effect of structural holes in networks. We tested the(More)
Amyotrophic lateral sclerosis (ALS) is a rapid progressive motor neuron disease. Currently, there are no specific or reliable biomarkers for the diagnosis of this disease, and there are no effective medical treatments. The early diagnosis and treatment of this disease has the potential to prolong the survival of ALS patients, but typically, approximately 1(More)
INTRODUCTION The effects of different mechanical ventilation (MV) modes on mortality outcome in infants with respiratory distress syndrome (RDS) are not well known. METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, EMBASE, MEDLINE, CINAHL, and Web of Science for studies published through April 2014(More)
The purpose of this paper is to discuss the sustainable development in China by building a theoretic model based on the R&D model. A major difference to the former models is that the model presented here considers exhaustible energy, pollution control which are endogenously determined. The method of optimal control is employed to obtain the balance(More)
To date, optimization models of uncertain endogenous technological change models commonly add cost resulting from overestimating technological learning rates into an objective function with a subjective risk factor. This paper explores two risk-constrained stochastic optimization methods for dealing with uncertain technological learning with a simplified(More)
This paper analyzes the adoption of energy technologies for alternative fuel vehicles based on learning curve approach. The energy technologies are divided into three categories: conventional, evolving and emerging energy technologies. The analysis shows that conventional energy technologies exhibit low learning rates associated with increasing returns to(More)