Mobile edge computing(MEC)-enabled satellite-terrestrial networks(STNs)can provide Internet of Things(IoT)devices with global computing services.Sometimes,the network state information is uncertain or unknown.To deal ...Mobile edge computing(MEC)-enabled satellite-terrestrial networks(STNs)can provide Internet of Things(IoT)devices with global computing services.Sometimes,the network state information is uncertain or unknown.To deal with this situation,we investigate online learning-based offloading decision and resource allocation in MEC-enabled STNs in this paper.The problem of minimizing the average sum task completion delay of all IoT devices over all time periods is formulated.We decompose this optimization problem into a task offloading decision problem and a computing resource allocation problem.A joint optimization scheme of offloading decision and resource allocation is then proposed,which consists of a task offloading decision algorithm based on the devices cooperation aided upper confidence bound(UCB)algorithm and a computing resource allocation algorithm based on the Lagrange multiplier method.Simulation results validate that the proposed scheme performs better than other baseline schemes.展开更多
Mild cognitive impairment(MCI)is a prodrome of Alzheimer’s disease pathology.Cognitive impairment patients often have a delayed diagnosis because there are no early symptoms or conventional diagnostic methods.Exosome...Mild cognitive impairment(MCI)is a prodrome of Alzheimer’s disease pathology.Cognitive impairment patients often have a delayed diagnosis because there are no early symptoms or conventional diagnostic methods.Exosomes play a vital role in cell-to-cell communications and can act as promising biomarkers in diagnosing diseases.This study was designed to identify serum exosomal candidate proteins that may play roles in diagnosing MCI.Mass spectrometry coupled with tandem mass tag approach-based non-targeted proteomics was used to show the differentially expressed proteins in exosomes between MCI patients and healthy controls,and these differential proteins were validated using immunoblot and enzyme-linked immunosorbent assays.Correlation of cognitive performance with the serum exosomal protein level was determined.Nanoparticle tracking analysis suggested that there was a higher serum exosome concentration and smaller exosome diameter in individuals with MCI compared with healthy controls.We identified 69 exosomal proteins that were differentially expressed between MCI patients and healthy controls using mass spectrometry analysis.Thirty-nine exosomal proteins were upregulated in MCI patients compared with those in control patients.Exosomal fibulin-1,with an area under the curve value of 0.81,may be a biomarker for an MCI diagnosis.The exosomal protein signature from MCI patients reflected the cell adhesion molecule category.In particular,higher exosomal fibulin-1 levels correlated with lower cognitive performance.Thus,this study revealed that exosomal fibulin-1 is a promising biomarker for diagnosing MCI.展开更多
目的:使用文献计量学及数据可视化分析技术,对骨折延迟愈合与骨不连的相关文献进行综合分析,总结该领域的研究现状及前沿动态,并推测未来发展趋势。方法:检索Web of Science核心数据库中2002年1月1日至2023年12月31日的骨折延迟愈合与...目的:使用文献计量学及数据可视化分析技术,对骨折延迟愈合与骨不连的相关文献进行综合分析,总结该领域的研究现状及前沿动态,并推测未来发展趋势。方法:检索Web of Science核心数据库中2002年1月1日至2023年12月31日的骨折延迟愈合与骨不连文献作为研究对象,使用Citespace软件对相关文献发表的国家、研究机构、杂志、作者、关键词等信息进行数据分析及可视化分析。结果:符合检索条件的文献9403篇,符合纳入标准的为9183篇,该领域发文量呈上升趋势,发达国家和相关国家的研究机构在该领域的研究中占据主导地位,但中国及上海交通大学等机构则在该领域发展迅速,处于追赶地位,频次最高的关键词为managemen(t治疗),关键词共形成15个聚类,突现关键词25个。结论:骨折延迟愈合与骨不连研究处于不断发展的状态,逐渐从手术治疗转向对疾病的发病机制及骨修复与再生领域的研究,研究层次不断加深。骨修复与再生将成为该领域未来研究的主要趋势。展开更多
基金supported by National Key Research and Development Program of China(2018YFC1504502).
文摘Mobile edge computing(MEC)-enabled satellite-terrestrial networks(STNs)can provide Internet of Things(IoT)devices with global computing services.Sometimes,the network state information is uncertain or unknown.To deal with this situation,we investigate online learning-based offloading decision and resource allocation in MEC-enabled STNs in this paper.The problem of minimizing the average sum task completion delay of all IoT devices over all time periods is formulated.We decompose this optimization problem into a task offloading decision problem and a computing resource allocation problem.A joint optimization scheme of offloading decision and resource allocation is then proposed,which consists of a task offloading decision algorithm based on the devices cooperation aided upper confidence bound(UCB)algorithm and a computing resource allocation algorithm based on the Lagrange multiplier method.Simulation results validate that the proposed scheme performs better than other baseline schemes.
基金supported by the National Natural Science Foundation of China,No.81801071(to YJL)Top-notch Postgraduate Talent Cultivation Program of Chongqing Medical University,No.BJRC202106(to BC).
文摘Mild cognitive impairment(MCI)is a prodrome of Alzheimer’s disease pathology.Cognitive impairment patients often have a delayed diagnosis because there are no early symptoms or conventional diagnostic methods.Exosomes play a vital role in cell-to-cell communications and can act as promising biomarkers in diagnosing diseases.This study was designed to identify serum exosomal candidate proteins that may play roles in diagnosing MCI.Mass spectrometry coupled with tandem mass tag approach-based non-targeted proteomics was used to show the differentially expressed proteins in exosomes between MCI patients and healthy controls,and these differential proteins were validated using immunoblot and enzyme-linked immunosorbent assays.Correlation of cognitive performance with the serum exosomal protein level was determined.Nanoparticle tracking analysis suggested that there was a higher serum exosome concentration and smaller exosome diameter in individuals with MCI compared with healthy controls.We identified 69 exosomal proteins that were differentially expressed between MCI patients and healthy controls using mass spectrometry analysis.Thirty-nine exosomal proteins were upregulated in MCI patients compared with those in control patients.Exosomal fibulin-1,with an area under the curve value of 0.81,may be a biomarker for an MCI diagnosis.The exosomal protein signature from MCI patients reflected the cell adhesion molecule category.In particular,higher exosomal fibulin-1 levels correlated with lower cognitive performance.Thus,this study revealed that exosomal fibulin-1 is a promising biomarker for diagnosing MCI.
文摘目的:使用文献计量学及数据可视化分析技术,对骨折延迟愈合与骨不连的相关文献进行综合分析,总结该领域的研究现状及前沿动态,并推测未来发展趋势。方法:检索Web of Science核心数据库中2002年1月1日至2023年12月31日的骨折延迟愈合与骨不连文献作为研究对象,使用Citespace软件对相关文献发表的国家、研究机构、杂志、作者、关键词等信息进行数据分析及可视化分析。结果:符合检索条件的文献9403篇,符合纳入标准的为9183篇,该领域发文量呈上升趋势,发达国家和相关国家的研究机构在该领域的研究中占据主导地位,但中国及上海交通大学等机构则在该领域发展迅速,处于追赶地位,频次最高的关键词为managemen(t治疗),关键词共形成15个聚类,突现关键词25个。结论:骨折延迟愈合与骨不连研究处于不断发展的状态,逐渐从手术治疗转向对疾病的发病机制及骨修复与再生领域的研究,研究层次不断加深。骨修复与再生将成为该领域未来研究的主要趋势。
