Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are ...Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are not set as primary design objectives.This makes data collection ability of vehicular nodes in real application environment inferior.By considering the features of nodes in wireless IoV,such as large scales of deployment,volatility and low time delay,an efficient data collection algorithm is proposed for mobile vehicle network environment.An adaptive sensing model is designed to establish vehicular data collection protocol.The protocol adopts group management in model communication.The vehicular sensing node in group can adjust network sensing chain according to sensing distance threshold with surrounding nodes.It will dynamically choose a combination of network sensing chains on basis of remaining energy and location characteristics of surrounding nodes.In addition,secure data collection between sensing nodes is undertaken as well.The simulation and experiments show that the vehicular node can realize secure and real-time data collection.Moreover,the proposed algorithm is superior in vehicular network life cycle,power consumption and reliability of data collection by comparing to other algorithms.展开更多
Recent advances in lymphoma treatment have significantly improved the survival of patients;however,the current approaches also have varying side effects.To overcome these,it is critical to implement individualized tre...Recent advances in lymphoma treatment have significantly improved the survival of patients;however,the current approaches also have varying side effects.To overcome these,it is critical to implement individualized treatment according to the patient’s condition.Therefore,the early identification of high-risk groups and targeted treatment are important strategies for prolonging the survival time and improving the quality of life of patients.Interim positron emission tomography-computed tomography(PET-CT)has a high prognostic value,which can reflect chemosensitivity and identify patients for whom treatment may fail under this regimen.To date,many prospective clinical studies on interim PET(iPET)-adapted therapy have been conducted.In this review,we focus on the treatment strategies entailed in these studies,as well as the means and timing of iPET assessment,with the aim of exploring the efficacy and existing issues regarding iPET-adapted treatment.It is expected that the improved use of PET-CT examination can facilitate treatment decision-making to identify precise treatment options.展开更多
基金supported by the National Nature Science Foundation of China(Grant61572188)A Project Supported by Scientif ic Research Fund of Hunan Provincial Education Department(14A047)+4 种基金the Natural Science Foundation of Fujian Province(Grant no.2014J05079)the Young and Middle-Aged Teachers Education Scientific Research Project of Fujian province(Grant nos.JA13248JA14254 and JA15368)the special scientific research funding for colleges and universities from Fujian Provincial Education Department(Grant no.JK2013043)the Research Project supported by Xiamen University of Technology(YKJ15019R)
文摘Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are not set as primary design objectives.This makes data collection ability of vehicular nodes in real application environment inferior.By considering the features of nodes in wireless IoV,such as large scales of deployment,volatility and low time delay,an efficient data collection algorithm is proposed for mobile vehicle network environment.An adaptive sensing model is designed to establish vehicular data collection protocol.The protocol adopts group management in model communication.The vehicular sensing node in group can adjust network sensing chain according to sensing distance threshold with surrounding nodes.It will dynamically choose a combination of network sensing chains on basis of remaining energy and location characteristics of surrounding nodes.In addition,secure data collection between sensing nodes is undertaken as well.The simulation and experiments show that the vehicular node can realize secure and real-time data collection.Moreover,the proposed algorithm is superior in vehicular network life cycle,power consumption and reliability of data collection by comparing to other algorithms.
基金supported by the National Natural Science Foundation of China(No.82270206)the Zhejiang Provincial Natural Science Foundation of China(No.LZ22H160009).
文摘Recent advances in lymphoma treatment have significantly improved the survival of patients;however,the current approaches also have varying side effects.To overcome these,it is critical to implement individualized treatment according to the patient’s condition.Therefore,the early identification of high-risk groups and targeted treatment are important strategies for prolonging the survival time and improving the quality of life of patients.Interim positron emission tomography-computed tomography(PET-CT)has a high prognostic value,which can reflect chemosensitivity and identify patients for whom treatment may fail under this regimen.To date,many prospective clinical studies on interim PET(iPET)-adapted therapy have been conducted.In this review,we focus on the treatment strategies entailed in these studies,as well as the means and timing of iPET assessment,with the aim of exploring the efficacy and existing issues regarding iPET-adapted treatment.It is expected that the improved use of PET-CT examination can facilitate treatment decision-making to identify precise treatment options.
