The last few years have witnessed the emergence and evolution of a vibrant research stream on a large variety of online Social Media Network (SMN) platforms. Recognizing anonymous, yet identical users among multiple SMNs is still an intractable problem. Clearly, cross-platform exploration may help solve many problems in social computing in both theory and applications. Since public profiles can be duplicated and easily impersonated by users with different purposes, most current user identification resolutions, which mainly focus on text mining of users' public profiles, are fragile. Some studies have attempted to match users based on the location and timing of user content as well as writing style. However, the locations are sparse in the majority of SMNs, and writing style is difficult to discern from the short sentences of leading SMNs such as Sina Microblog and Twitter. Moreover, since online SMNs are quite symmetric, existing user identification schemes based on network structure are not effective. The real-world friend cycle is highly individual and virtually no two users share a congruent friend cycle. Therefore, it is more accurate to use a friendship structure to analyze cross-platform SMNs. Since identical users tend to set up partial similar friendship structures in different SMNs, we proposed the Friend Relationship-Based User Identification (FRUI) algorithm. FRUI calculates a match degree for all candidate User Matched Pairs (UMPs), and only UMPs with top ranks are considered as identical users. We also developed two propositions to improve the efficiency of the algorithm. Results of extensive experiments demonstrate that FRUI performs much better than current network structure-based algorithms.
IntroductionThe purpose of this meta-analysis was to explore the value of whole-body computed tomography (WBCT) in major trauma patients (MTPs).MethodsA comprehensive search for articles from Jan 1, 1980 to Dec 31, 2013 was conducted through PubMed, Cochrane Library database, China biology medical literature database, Web of knowledge, ProQuest, EBSCO, OvidSP, and ClinicalTrials.gov. Studies which compared whole-body CT with conventional imaging protocol (X-ray of the pelvis and chest, trans-abdominal sonography, and/or selective CT) in MTPs were eligible. The primary endpoint was all-cause mortality. The second endpoints included: time spent in the emergency department (ED), the duration of mechanical ventilation, ICU and hospital length of stay (LOS), the incidence of Multiple Organ Dysfunction Syndrome (MODS) /Multiple Organ Failure (MOF). Analysis was performed with Review Manager 5.2.10 and Stata 12.0.ResultsEleven trials enrolling 26371 patients were analyzed. In MTPs, the application of WBCT was associated with lower mortality rate (pooled OR: 0.66, 95% CI: 0.52 to 0.85) and a shorter stay in the ED (weighted mean difference (WMD), −27.58 min; 95% CI, −43.04 to −12.12]. There was no effect of WBCT on the length of ICU stay (WMD, 0.95 days; 95% CI: −0.08 to 1.98) and the length of hospital stay (WMD, 0.56 days; 95% CI: −0.03 to 1.15). Patients in the WBCT group had a longer duration of mechanical ventilation (WMD, 0.96 days, 95% CI: 0.32 to 1.61) and higher incidence of MODS/MOF (OR, 1.44, 95% CI: 1.35-1.54; P = 0.00001).ConclusionsThe present meta-analysis suggests that the application of whole-body CT significantly reduces the mortality rate of MTPs and markedly reduces the time spent in the emergency department.
Long noncoding RNAs (lncRNAs) are known to play important roles in cancers. However, little is known about lncRNAs in cholangiocarcinoma (CCA), a cholangiocyte malignancy with poor prognosis. We investigated the role of nuclear paraspeckle assembly transcript 1 (NEAT1) lncRNA in promoting CCA. qRT-PCR analysis of patient samples showed that NEAT1 expression was higher in CCA tumors than in matched adjacent nontumor tissue. NEAT1 levels were also higher in CCA cell lines than in a normal biliary epithelium cell line (HIBEpic). NEAT1 knockdown in CCA cell lines using shNEAT1 reduced cell proliferation and colony formation in CCK-8 and colony formation assays, respectively. CCA cells transfected with shNEAT1 also exhibited reduced metastasis and invasiveness in Transwell assays. NEAT1 knockdown cells produced smaller tumors, demonstrating that NEAT1 promotes tumor growth in vivo. Silencing of NEAT1 increased E-cadherin expression in vitro, and E-cadherin expression was inversely correlated with NEAT1 expression in CCA tissue samples. RIP and ChIP assays suggest that NEAT1 is recruited to the E-cadherin promoter by EZH2 (enhancer of zeste homolog 2), where it represses E-cadherin expression. These findings indicate that NEAT1 exerts oncogenic effects in CCA. We postulate that NEAT1 is a potentially useful diagnostic and therapeutic target for CCA.
BackgroundEarly fluid resuscitation is vital to patients with sepsis. However, the choice of fluid has been a hot topic of discussion. The objective of this study was to evaluate whether the use of albumin-containing fluids for resuscitation in patients with sepsis was associated with a decreased mortality rate.MethodsWe systematically searched PubMed, EMBASE and Cochrane library for eligible randomized controlled trials (RCTs) up to March 2014. The selection of eligible studies, assessment of methodological quality, and extraction of all relevant data were conducted by two authors independently.ResultsIn total, 15 RCTs were eligible for analysis. After pooling the data, we found there was no significant effect of albumin-containing fluids on mortality in patients with sepsis of any severity (RR: 0.94, 95% CI: 0.87, 1.02 and RD: –0.01, 95% CI: –0.03, 0.01). The results were robust to subgroup analyses, sensitivity analyses and trial sequential analyses.ConclusionThe present meta-analysis did not demonstrate significant advantage of using albumin-containing fluids for resuscitation in patients with sepsis of any severity. Given the cost-effectiveness of using albumin, crystalloids should be the first choice for fluid resuscitation in septic patients.
Purpose The injury severity score (ISS) and new injury severity score (NISS) have been widely used in trauma evaluation. However, which scoring system is better in trauma outcome prediction is still disputed. The purpose of this study is to evaluate the value of the two scoring systems in predicting trauma outcomes, including mortality, intensive care unit (ICU) admission and ICU length of stay. Methods The data were collected retrospectively from three hospitals in Zhejiang province, China. The comparisons of NISS and ISS in predicting outcomes were performed by using receiver operator characteristic (ROC) curves and Hosmer-Lemeshow statistics. Results A total of 1825 blunt trauma patients were enrolled in our study. Finally, 1243 patients were admitted to ICU, and 215 patients died before discharge. The ISS and NISS were equivalent in predicting mortality (area under ORC curve [AUC]: 0.886 vs . 0.887, p = 0.9113). But for the patients with ISS ≥25, NISS showed better performance in predicting mortality. NISS was also significantly better than ISS in predicting ICU admission and prolonged ICU length of stay. Conclusion NISS outperforms ISS in predicting the outcomes for severe blunt trauma and can be an essential supplement of ISS. Considering the convenience of NISS in calculation, it is advantageous to promote NISS in China’s primary hospitals.
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