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While big data is becoming ubiquitous, interest in handling data stream at scale is also gaining popularity, which leads to the sprout of many distributed stream computing systems. However, complexity of stream computing and diversity of workloads expose great challenges to benchmark these systems. Due to lack of standard criteria, evaluations and(More)
BACKGROUND Cell migration is a basis for invasion and metastasis of malignant tumors. Receptor tyrosine kinases are recognized as important therapeutic targets in antineoplastic strategies. C-met is a receptor tyrosine kinase highly expressed in human hepatocellular carcinoma (HCC) cell line MHCC97-H. Higher expression of c-met in tumor tissue can lead to(More)
BACKGROUND There is increasing interest in using prediction models to identify patients at risk of readmission or death after hospital discharge, but existing models have significant limitations. Electronic medical record (EMR) based models that can be used to predict risk on multiple disease conditions among a wide range of patient demographics early in(More)
In response to the increasing influence of practice theory perspectives for studying organisational and inter-organisational information systems, we demonstrate that an important dilemma from this perspective for data collection methods is between authentic access to practices and the ability to thematise knowledge of practices. We propose a promising new(More)
As the first defence for cells to counteract the toxicity of active oxygen, superoxide dismutase (SOD) plays an important role in the response of living organisms to stress and cell differentiation. One extracellular Cu-ZnSOD (ecCu-ZnSOD), and two MnSODs, were identified based on the Volvariella volvacea genome sequence. All three genes have complicated(More)
Metabolic syndrome is associated with cardiovascular disease, type 2 diabetes mellitus (T2DM) and prediabetes. Metabolic syndrome is a cluster of interrelated clinical disorders. Difficulties in regulating glucose levels in blood are implicated in many of these disorders. Lactate, another energy metabolite, is produced under anaerobic conditions and can be(More)
The use of predictive modeling for real-time clinical decision making is increasingly recognized as a way to achieve the Triple Aim of improving outcomes, enhancing patients' experiences, and reducing health care costs. The development and validation of predictive models for clinical practice is only the initial step in the journey toward mainstream(More)
OBJECTIVE To test a multidisciplinary approach to reduce heart failure (HF) readmissions that tailors the intensity of care transition intervention to the risk of the patient using a suite of electronic medical record (EMR)-enabled programmes. METHODS A prospective controlled before and after study of adult inpatients admitted with HF and two concurrent(More)
The formation of fruiting body in Volvariella volvacea is affected by endogenous genes and environmental factors. However, its regulation at a molecular level is still poorly understood. To study the genes involved in the formation of fruiting body, we cloned a new regulator of the G protein signaling (RGS) encoding gene (rgs) from V. volvacea. Phylogenetic(More)
CONTEXT The recent explosion in available electronic health record (EHR) data is motivating a rapid expansion of electronic health care predictive analytic (e-HPA) applications, defined as the use of electronic algorithms that forecast clinical events in real time with the intent to improve patient outcomes and reduce costs. There is an urgent need for a(More)