763 research outputs found

    Sequential Wnt Agonist then Antagonist Treatment Accelerates Tissue Repair and Minimizes Fibrosis

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    Tissue fibrosis compromises organ function and occurs as a potential long-term outcome in response to acute tissue injuries. Currently, lack of mechanistic understanding prevents effective prevention and treatment of the progression from acute injury to fibrosis. Here, we combined quantitative experimental studies with a mouse kidney injury model and a computational approach to determine how the physiological consequences are determined by the severity of ischemia injury, and to identify how to manipulate Wnt signaling to accelerate repair of ischemic tissue damage while minimizing fibrosis. The study reveals that Wnt-mediated memory of prior injury contributes to fibrosis progression, and ischemic preconditioning reduces the risk of death but increases the risk of fibrosis. Furthermore, we validated the prediction that sequential combination therapy of initial treatment with a Wnt agonist followed by treatment with a Wnt antagonist can reduce both the risk of death and fibrosis in response to acute injuries

    Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach

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    Given the trend of digitization and increasing number of maritime transport, prediction of vessel berth stay has been triggered for requirements of operation research and scheduling optimization problem in the era of maritime big data, which takes a significant part in port efficiency and maritime logistics enhancement. This study proposes a systematic and dynamic approach of predicting berth stay for tanker terminals. The approach covers three innovative aspects: 1) Data source employed is multi-faceted, including cargo operation data from tanker terminals, time-series data from automatic identification system (AIS), etc. 2) The process of berth stay is decomposed into multiple blocks according to data analysis and information extraction innovatively, and practical operation scenarios are also developed accordingly. 3) The predictive models of berth stay are developed on the basis of prior data analysis and information extraction under two methods, including regression and decomposed distribution. The models are evaluated under four dynamic scenarios with certain designated cargoes among two different terminals. The evaluation results show that the proposed approach can predict berth stay with the accuracy up to 98.81% validated by historical baselines, and also demonstrate the proposed approach has dynamic capability of predicting berth stay among the scenarios. The model may be potentially applied for short-term pilot-booking or scheduling optimizations within a reasonable time frame for advancement of port intelligence and logistics efficiency

    Brief Discussion of Surveying Technology of Three-dimensional Digital Topographic Map

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    3D digital Topographic drawing adopts 3D profile technology and demonstrates geographic space phenomenon to users, reflects the space features of geographic entity in an integrated and accurate manner and thus realizes even more complete, accurate and straight-forward expression of the objective world. It can not only express the plane relationship between space objects, but also accurately describe and express the ground elevation and geometric object height which upgrade the space expression ability and measuring level of digital map and enhance the space acknowledge ability and analytic ability of map. This article aims to elaborate on 3D digital topographic drawing in three aspects: surveying, mapping and application; mainly introduce the mapping methods of 3D topography and geometric object, integrated matching technologies of topographic model and geometric object model and application of 3D digital topographic drawing. It is expected to have a positive promotion role in the development of 3D GIS
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