Nowadays, most positioning systems carry out locational calculation based on the accurate location information of some devices in the network. However there is a deviation in the locational information of the part of ...Nowadays, most positioning systems carry out locational calculation based on the accurate location information of some devices in the network. However there is a deviation in the locational information of the part of the device, we need to reduce it in order to obtain higher positioning accuracy. In this paper, we proposed a new centralized D2D(Device-to-Device) co-location algorithm. This algorithm uses DBSACN(Density-Based Spatial Clustering of Applications with Noise) clustering to reduce the deviation of device location information. Numerical results show that the positioning accuracy of the centralized D2D co-localization algorithm is improved by 62.7% compared with the SPAWN algorithm, which positioning performance superior to the traditional co-localization algorithm.展开更多
Drug resistance of anthracycline in the invasive cancer is associated with the lowered cellular drug uptake and diminished co-localization of drug with nuclei. In the present study, we aimed to construct the folate-co...Drug resistance of anthracycline in the invasive cancer is associated with the lowered cellular drug uptake and diminished co-localization of drug with nuclei. In the present study, we aimed to construct the folate-conjugated epirubicin liposomes by incorporating a synthesized folate-lipid derivative; and to assess the effects on cellular drug uptake, co-localization of drug with nuclei and efficacy in treatment of invasive breast cancer cells. The studies were performed on invasive human breast cancer cells. The folate-PEG2ooo-DSPE conjugate was synthesized, and the constructed folate-conjugated epirubicin liposomes were approximately 1 O0 nm in size. The in vitro studies demonstrated that the folate-conjugated epirubicin liposomes had the strongest cellular drug uptake and co-localization with nuclei of the invasive breast cancer cells. Besides, the liposomes displayed the most significant efficacy in killing the invasive cancer cells, in preventing their invasive potential, and in penetrating ability into breast cancer spheroid as well. In conclusion, the constructed folate-conjugated epirubicin liposomes were able to enhance the efficacy in treatment of invasive breast cancer by improving the cellular drug uptake and increasing the co-localization with nuclei, hence offering a new strategy for potentially eradicating the invasive breast cancer cells.展开更多
Let （R,m） be a Noetherian local ring. Denote by N-dimnA the Noetherian dimension of an Artinian R-module A. In this paper, we give some characterizations for the ring R to satisfy N-dimRA = dim（R/AnnRA） for certai...Let （R,m） be a Noetherian local ring. Denote by N-dimnA the Noetherian dimension of an Artinian R-module A. In this paper, we give some characterizations for the ring R to satisfy N-dimRA = dim（R/AnnRA） for certain Artinian R-modules A. Then the existence of a co-localization compatible with Artinian R-modules is studied and it is shown that if it is compatible with local cohomologies of finitely generated modules, then the base ring is universally catenary and all of its formal fibers are Cohen-Macaulay.展开更多
This talk will discuss single-molecule detection that shows on dual-color optical imaging data, image processing and statistical analysis can reliably differentiate random
Cloud service providers generally co-locate online services and batch jobs onto the same computer cluster,where the resources can be pooled in order to maximize data center resource utilization.Due to resource competi...Cloud service providers generally co-locate online services and batch jobs onto the same computer cluster,where the resources can be pooled in order to maximize data center resource utilization.Due to resource competition between batch jobs and online services,co-location frequently impairs the performance of online services.This study presents a quality of service(QoS)prediction-based schedulingmodel(QPSM)for co-locatedworkloads.The performance prediction of QPSM consists of two parts:the prediction of an online service’s QoS anomaly based on XGBoost and the prediction of the completion time of an offline batch job based on randomforest.On-line service QoS anomaly prediction is used to evaluate the influence of batch jobmix on on-line service performance,and batch job completion time prediction is utilized to reduce the total waiting time of batch jobs.When the same number of batch jobs are scheduled in experiments using typical test sets such as CloudSuite,the scheduling time required by QPSM is reduced by about 6 h on average compared with the first-come,first-served strategy and by about 11 h compared with the random scheduling strategy.Compared with the non-co-located situation,QPSM can improve CPU resource utilization by 12.15% and memory resource utilization by 5.7% on average.Experiments show that the QPSM scheduling strategy proposed in this study can effectively guarantee the quality of online services and further improve cluster resource utilization.展开更多
基金financially supported by the National Key Research&Development Program under Grant No.2018YFC0809702。
文摘Nowadays, most positioning systems carry out locational calculation based on the accurate location information of some devices in the network. However there is a deviation in the locational information of the part of the device, we need to reduce it in order to obtain higher positioning accuracy. In this paper, we proposed a new centralized D2D(Device-to-Device) co-location algorithm. This algorithm uses DBSACN(Density-Based Spatial Clustering of Applications with Noise) clustering to reduce the deviation of device location information. Numerical results show that the positioning accuracy of the centralized D2D co-localization algorithm is improved by 62.7% compared with the SPAWN algorithm, which positioning performance superior to the traditional co-localization algorithm.
基金The National Natural Science Foundation of China(Grant No.81373343 and 81673367)
文摘Drug resistance of anthracycline in the invasive cancer is associated with the lowered cellular drug uptake and diminished co-localization of drug with nuclei. In the present study, we aimed to construct the folate-conjugated epirubicin liposomes by incorporating a synthesized folate-lipid derivative; and to assess the effects on cellular drug uptake, co-localization of drug with nuclei and efficacy in treatment of invasive breast cancer cells. The studies were performed on invasive human breast cancer cells. The folate-PEG2ooo-DSPE conjugate was synthesized, and the constructed folate-conjugated epirubicin liposomes were approximately 1 O0 nm in size. The in vitro studies demonstrated that the folate-conjugated epirubicin liposomes had the strongest cellular drug uptake and co-localization with nuclei of the invasive breast cancer cells. Besides, the liposomes displayed the most significant efficacy in killing the invasive cancer cells, in preventing their invasive potential, and in penetrating ability into breast cancer spheroid as well. In conclusion, the constructed folate-conjugated epirubicin liposomes were able to enhance the efficacy in treatment of invasive breast cancer by improving the cellular drug uptake and increasing the co-localization with nuclei, hence offering a new strategy for potentially eradicating the invasive breast cancer cells.
文摘Let （R,m） be a Noetherian local ring. Denote by N-dimnA the Noetherian dimension of an Artinian R-module A. In this paper, we give some characterizations for the ring R to satisfy N-dimRA = dim（R/AnnRA） for certain Artinian R-modules A. Then the existence of a co-localization compatible with Artinian R-modules is studied and it is shown that if it is compatible with local cohomologies of finitely generated modules, then the base ring is universally catenary and all of its formal fibers are Cohen-Macaulay.
文摘This talk will discuss single-molecule detection that shows on dual-color optical imaging data, image processing and statistical analysis can reliably differentiate random
基金supported by the NationalNatural Science Foundation of China(No.61972118)the Key R&D Program of Zhejiang Province(No.2023C01028).
文摘Cloud service providers generally co-locate online services and batch jobs onto the same computer cluster,where the resources can be pooled in order to maximize data center resource utilization.Due to resource competition between batch jobs and online services,co-location frequently impairs the performance of online services.This study presents a quality of service(QoS)prediction-based schedulingmodel(QPSM)for co-locatedworkloads.The performance prediction of QPSM consists of two parts:the prediction of an online service’s QoS anomaly based on XGBoost and the prediction of the completion time of an offline batch job based on randomforest.On-line service QoS anomaly prediction is used to evaluate the influence of batch jobmix on on-line service performance,and batch job completion time prediction is utilized to reduce the total waiting time of batch jobs.When the same number of batch jobs are scheduled in experiments using typical test sets such as CloudSuite,the scheduling time required by QPSM is reduced by about 6 h on average compared with the first-come,first-served strategy and by about 11 h compared with the random scheduling strategy.Compared with the non-co-located situation,QPSM can improve CPU resource utilization by 12.15% and memory resource utilization by 5.7% on average.Experiments show that the QPSM scheduling strategy proposed in this study can effectively guarantee the quality of online services and further improve cluster resource utilization.
