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Service discovery constructs a bridge between the service providers and the service consumers, and is a key point in pervasive computing environments. In group-based service discovery protocols, selective forwarding service reques...
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Service discovery constructs a bridge between the service providers and the service consumers, and is a key point in pervasive computing environments. In group-based service discovery protocols, selective forwarding service requests only based on the service group maybe lead to unnecessary forwarding, which produces large packet redundancy. This paper proposes an efficient service discovery protocol: SIGIFSDP (Service Id Guided Intelligent Forwarding Service Discovery Protocol). In SIGIFSDP, based on GSD, SIGIF (Service Id Guided Intelligent Forwarding) is introduced to select the exact forwarding nodes based on the service id. Theoretical analysis and simulation results using GloMosim verify that SIGIFSDP can save the response time, reduce the service request packets, and improve the efficiency of service discovery.
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We introduce a new way of approximating initial condition to thesemidiscrete finite element method for integro-differentialequations using any degree of elements. We obtain severalsuperconvergence results for the error between the...
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We introduce a new way of approximating initial condition to thesemidiscrete finite element method for integro-differentialequations using any degree of elements. We obtain severalsuperconvergence results for the error between the approximatesolution and the Ritz-Volterra projection of the exact solution.Fork>1, we obtain first order gain inLp(2≤p≤∞)norm, second order inW1,p(2≤p≤∞)norm and almostsecond order inW1,∞norm. Fork=1, we obtain first order gain inW1,p(2≤p≤∞)norms. Further,applying interpolated postprocessing technique to the approximatesolution, we get one order global superconvergence between theexact solution and the interpolation of the approximate solutionin theLpandW1,p(2≤p≤∞).
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Lead (Pb) is a toxic heavy metal affecting human health; it is known to be harmful to various organs or systems, yet the mechanisms by which Pb influences immune cell development remain to be defined. In this study, we show that P...
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Lead (Pb) is a toxic heavy metal affecting human health; it is known to be harmful to various organs or systems, yet the mechanisms by which Pb influences immune cell development remain to be defined. In this study, we show that Pb exposure (1250?ppm via drinking water) selectively impacted the development of myeloid cells (myelopoiesis). After Pb treatment of adult C57BL/6 mice, the numbers of granulocyte-macrophage progenitors (GMP) were consistently reduced, whereas the numbers of myeloid cells were increased at week (wk) 1 and decreased at wk8 after initiating the Pb exposure. Functional assays indicate that Pb accelerated GMP differentiation in a reactive oxygen species-dependent manner after treatment for 1?week and inhibited common myeloid progenitor differentiation by upregulating interferon regulatory factor 8 (IRF8) expression after treatment for 8?weeks. Consistent with the distinct Pb influences on myeloid cells observed at wk1 and wk8, Pb caused an inflammatory environment in vivo at wk8, but not at wk1. Furthermore, like the observations in mice during the Pb exposure, bloods from humans occupationally exposed to Pb had their numbers of monocytes, neutrophils and GMP negatively associated with the Pb concentration, whereas IRF8 expression in common myeloid progenitor, but not GMP, was positively correlated with the Pb concentration. These data suggest an occupationally relevant level of Pb exposure preferentially influences myelopoiesis involving reactive oxygen species and IRF8, which may contribute to the current understanding of the hematopoietic toxicology of Pb.
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Esophageal carcinoma is a major public health problem worldwide and one of the most aggressively malignant neoplasms. Although considerable diagnostic and therapeutic progress has been made in recent years, the prognosis of EC pat...
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Esophageal carcinoma is a major public health problem worldwide and one of the most aggressively malignant neoplasms. Although considerable diagnostic and therapeutic progress has been made in recent years, the prognosis of EC patients still remains dismal due to high rates of recurrence/metastasis and invasion. Previous studies have demonstrated that Epithelial mesenchymal transition (EMT) is proposed as a critical mechanism for the acquisition of malignant phenotypes by epithelial cells. Several lines of evidence have shown that Cripto-1 plays an important oncogenic role during tumorigenesis by promoting EMT. The aim of our study was to evaluate the significance of Cripto-1 which plays a role in EMT and its metastasis in esophageal carcinoma. Data of this study suggest that Cripto-1 overexpression is connected with the tumorigenesis and progression of esophageal carcinoma; shRNA might be feasible for the inhibition of the invasion and metastasis of esophageal carcinoma.
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Purpose. Acute healthcare utilization of stroke and bleeding has been previously examined among patients with nonvalvular atrial fibrillation (NVAF). The long-term cost of such outcomes over several years is not well understood.Me...
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Purpose. Acute healthcare utilization of stroke and bleeding has been previously examined among patients with nonvalvular atrial fibrillation (NVAF). The long-term cost of such outcomes over several years is not well understood.Methods. Using 1999–2009 Medicare medical and enrollment data, we identified incident NVAF patients without history of stroke or bleeding. Patients were followed from the first occurrence of ischemic stroke, major bleeding, or intracranial hemorrhage (ICH) resulting in hospitalization. Those with events were matched with 1–5 NVAF patients without events. Total incremental costs of events were calculated as the difference between costs for patients with events and matched controls for up to 3 years.Results. Among the 25,465 patients who experienced events, 94.5% were successfully matched. In the first year after event, average incremental costs were $32,900 for ischemic stroke, $23,414 for major bleeding, and $47,640 for ICH. At 3 years after these events, costs remained elevated by $3,156–$5,400 per annum.Conclusion. While the costs of stroke and bleeding among patients with NVAF are most dramatic in the first year, utilization remained elevated at 3 years. Cost consequences extend beyond the initial year after these events and should be accounted for when assessing the cost-effectiveness of treatment regimens for stroke prevention.
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Remote monitoring of heart disease provides the means to keep patients under continuous supervision. In this paper, we introduce the design and implementation of a remote monitoring medical system for heart failure prediction and ...
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Remote monitoring of heart disease provides the means to keep patients under continuous supervision. In this paper, we introduce the design and implementation of a remote monitoring medical system for heart failure prediction and management. The three-part system includes a patient-end for data collection, a medical data center as data storage and analysis, and a doctor-end to diagnosis and intervention. The main objective of the system is to prognose the occurrence risk of heart failure (HF) confirmed by the level of N-terminal prohormone of brain natriuretic peptide (NT-proBNP) based on the changes of the patients’ (systolic and diastolic) blood pressure and body weight that are measured noninvasively in a home environment. The prediction of HF and non-HF patients was achieved bya structured support vector machine (SVM) classification algorithm. With the present system, we also proposed ascoring method to interpret the long-term risk of HF. We demonstrated the efficiency of the system with a pilotclinical study of 34 samples, where the NT-proBNP test was used to help train the prediction model as well ascheck the prediction results for our system. Results showed an accuracy of 79.4% for predicting HF on day 7 basedon daily body weight and blood pressure data acquired over 30 days.
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Subarachnoid hemorrhage (SAH) is a devastating neurological disorder. Patients with aneurysmal SAH develop secondary complications that are important causes of morbidity and mortality. Aside from secondary neurological injuries, S...
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Subarachnoid hemorrhage (SAH) is a devastating neurological disorder. Patients with aneurysmal SAH develop secondary complications that are important causes of morbidity and mortality. Aside from secondary neurological injuries, SAH has been associated with nonneurologic medical complications, such as neurocardiogenic injury, neurogenic pulmonary edema, hyperglycemia, and electrolyte imbalance, of which cardiac and pulmonary complications are most common. The related mechanisms include activation of the sympathetic nervous system, release of catecholamines and other hormones, and inflammatory responses. Extracerebral complications are directly related to the severity of SAH-induced brain injury and indicate the clinical outcome in patients. This review provides an overview of the extracerebral complications after SAH. We also aim to describe the manifestations, underlying mechanisms, and the effects of those extracerebral complications on outcome following SAH.
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We study superconvergence of a semi-discrete finite element schemefor parabolic problem. Our new scheme is based on introducingdifferent approximation of initial condition. First, we give asuperconvergence ofuh?Rhu, then use a pos...
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We study superconvergence of a semi-discrete finite element schemefor parabolic problem. Our new scheme is based on introducingdifferent approximation of initial condition. First, we give asuperconvergence ofuh?Rhu, then use a postprocessing toimprove the accuracy to higher order.
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Maternal dietary patterns and macronutrients intake have been shown to affect the development of gestational diabetes mellitus (GDM), but the findings are inconsistent. We aimed to identify maternal dietary patterns and examine th...
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Maternal dietary patterns and macronutrients intake have been shown to affect the development of gestational diabetes mellitus (GDM), but the findings are inconsistent. We aimed to identify maternal dietary patterns and examine their associations with GDM risk, and to evaluate the contributions of macronutrients intake to these associations. We included 2755 Chinese pregnant women from the Tongji Maternal and Child Health Cohort. Dietary intakes were assessed using a validated semi-quantitative FFQ 2 weeks before the diagnosis of GDM. GDM (n 248) was diagnosed based on the results of a 75-g, 2-h oral glucose tolerance test at 24–28 weeks gestation. We derived five different dietary patterns from a principal component analysis. The results showed that high fish–meat–eggs scores, which were positively related to protein intake and inversely related to carbohydrate intake, were associated with a higher risk of GDM (adjusted OR for quartile 4 v. quartile 1: 1·83; 95 % CI 1·21, 2·79; Ptrend=0·007) and higher plasma glucose levels. In contrast, high rice–wheat–fruits scores, which were positively related to carbohydrate intake and inversely related to protein intake, were associated with lower risk of GDM (adjusted OR for quartile 3 v. quartile 1: 0·54; 95 % CI 0·36, 0·83; Ptrend=0·010) and lower plasma glucose levels. In addition, dietary protein and carbohydrate intake significantly contributed to the associations between dietary patterns and GDM risk or glucose levels. These findings suggest that a dietary pattern characterised by high protein and low carbohydrate intake in pregnancy was associated with a higher risk of GDM, which may provide important clues for dietary guidance during pregnancy to prevent GDM.
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Searching for new materials with extra low thermal conductivities is significant in numerous fields like thermal barrier coatings and thermoelectric devices. Traditional multiple-component design has successfully reduced the therm...
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Searching for new materials with extra low thermal conductivities is significant in numerous fields like thermal barrier coatings and thermoelectric devices. Traditional multiple-component design has successfully reduced the thermal conductivity, but it also dramatically increases the complexity of manufactural technologies and the risk of material failures. In this work, a specific category known as AB O_(4) scheelites that with both simple crystal structure and the structural signature of the low lattice thermal conductivity is explored. High-throughput calculations are employed to screen for the materials with the targeted performance by multi-dimensional mechanical/thermal property criteria and a database of 46 stable scheelites is constructed. Seven scheelites with both ultra-low thermal conductivities (<1.2?W/(m?K)) and quasi-ductility are predicted to be novel thermal insulation materials. Low thermal conductivities prefer the scheelites with large valence disparity between “ A ” and “ B ” cations and/or small ionic radius ratio. The adopted strategy starting from the structural fingerprint and the data-driven material selection is expected to be a reference of future structural and functional ceramics design.
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