MII:A Novel Text Classification Model Combining Deep Active Learning with BERT

Active learning has been widely utilized to reduce the labeling cost of supervised learning.By selecting specific instances to train the model,the performance of the model was improved within limited steps.However,rare work paid attention to the effectiveness of active learning on it.In this paper,we proposed a deep active learning model with bidirectional encoder representations from transformers(BERT)for text classification.BERT takes advantage of the self-attention mechanism to integrate contextual information,which is beneficial to accelerate the convergence of training.As for the process of active learning,we design an instance selection strategy based on posterior probabilities Margin,Intra-correlation and Inter-correlation(MII).Selected instances are characterized by small margin,low intra-cohesion and high inter-cohesion.We conduct extensive experiments and analytics with our methods.The effect of learner is compared while the effect of sampling strategy and text classification is assessed from three real datasets.The results show that our method outperforms the baselines in terms of accuracy.

NIR-triggered drug delivery system based on phospholipid coated ordered mesoporous carbon for synergistic chemo-photothermal therapy of cancer cells

Chemo-photothermal treatment is one of the most efficient strategies for cancer therapy.However,traditional drug carriers without near-infrared absorption capacity need to be loaded with materials behaving photothermal properties,as it results in complicated synthesis process,inefficient photothermal effects and hindered NIR-mediated drug release.Herein we report a facile synthesis of a polyethylene glycol(PEG)linked liposome(PEG-liposomes)coated doxorubicin(DOX)-loaded ordered mesoporous carbon(OMC)nanocomponents(PEG-LIP@OMC/DOX)by simply sonicating DOX and OMC in PEG-liposomes suspensions.The as-obtained PEG-LIP@OMC/DOX exhibits a nanoscale size(600±15 nm),a negative surface potential(-36.70 mV),high drug loading(131.590 mg/g OMC),and excellent photothermal properties.The PEG-LIP@OMC/DOX can deliver loaded DOX to human MCF-7 breast cancer cells(MCF-7)and the cell toxicity viability shows that DOX unloaded PEG-LIP@OMC has no cytotoxicity,confirming the PEG-LIP@OMC itself has excellent biocompatibility.The NIR-triggered release studies demonstrate that this NIR-responsive drug delivery system enables on-demand drug release.Furthermore,cell viability results using human MCF-7 cells demonstrated that the combination of NIR-based hyperthermal therapy and triggered chemothe rapy can provide higher therapeutic efficacy than re spective monothe rapies.With these excellent features,we believe that this phospholipid coating based multifunctional delivery system strategy should promote the application of OMC in nanomedical applications.