骨盆髋臼骨折(pelvic and acetabular fractures,PAFs)是最常见的骨盆骨折类型之一,多为高能量损伤,骨盆髋臼结构复杂,手术方法有限。髋臼骨折本身所带来的创伤和术后需要长期卧床等情况,导致其临床并发症尤为复杂。静脉血栓栓塞(venous...骨盆髋臼骨折(pelvic and acetabular fractures,PAFs)是最常见的骨盆骨折类型之一,多为高能量损伤,骨盆髋臼结构复杂,手术方法有限。髋臼骨折本身所带来的创伤和术后需要长期卧床等情况,导致其临床并发症尤为复杂。静脉血栓栓塞(venous thromboembolic,VTE)是其众多并发症中发生率较高且后果严重的一种。本综述主要以PAFs术后导致的VTE为主要内容,分别从VTE的流行病学、危险因素以及防治措施三个方面展开叙述,旨在帮助改善预后,避免严重并发症的发生。展开更多
News media profiling is helpful in preventing the spread of fake news at the source and maintaining a good media and news ecosystem.Most previous works only extract features and evaluate media from one dimension indep...News media profiling is helpful in preventing the spread of fake news at the source and maintaining a good media and news ecosystem.Most previous works only extract features and evaluate media from one dimension independently,ignoring the interconnections between different aspects.This paper proposes a novel news media bias and factuality profiling framework assisted by correlated features.This framework models the relationship and interaction between media bias and factuality,utilizing this relationship to assist in the prediction of profiling results.Our approach extracts features independently while aligning and fusing them through recursive convolu-tion and attention mechanisms,thus harnessing multi-scale interactive information across different dimensions and levels.This method improves the effectiveness of news media evaluation.Experimental results indicate that our proposed framework significantly outperforms existing methods,achieving the best performance in Accuracy and F1 score,improving by at least 1%compared to other methods.This paper further analyzes and discusses based on the experimental results.展开更多
Users’interests are often diverse and multi-grained,with their underlying intents even more so.Effectively captur-ing users’interests and uncovering the relationships between diverse interests are key to news recomm...Users’interests are often diverse and multi-grained,with their underlying intents even more so.Effectively captur-ing users’interests and uncovering the relationships between diverse interests are key to news recommendation.Meanwhile,diversity is an important metric for evaluating news recommendation algorithms,as users tend to reject excessive homogeneous information in their recommendation lists.However,recommendation models themselves lack diversity awareness,making it challenging to achieve a good balance between the accuracy and diversity of news recommendations.In this paper,we propose a news recommendation algorithm that achieves good performance in both accuracy and diversity.Unlike most existing works that solely optimize accuracy or employ more features to meet diversity,the proposed algorithm leverages the diversity-aware capability of the model.First,we introduce an augmented user model to fully capture user intent and the behavioral guidance they might undergo as a result.Specifically,we focus on the relationship between the original clicked news and the augmented clicked news.Moreover,we propose an effective adversarial training method for diversity(AT4D),which is a pluggable component that can enhance both the accuracy and diversity of news recommendation results.Extensive experiments on real-world datasets confirm the efficacy of the proposed algorithm in improving both the accuracy and diversity of news recommendations.展开更多
Background:Hepatocellular carcinoma(HCC)is the most common type of liver cancer.Recently,developments in radiotherapy technology have led to radiotherapy becoming one of the main therapeutics of HCC.Therefore,a suitab...Background:Hepatocellular carcinoma(HCC)is the most common type of liver cancer.Recently,developments in radiotherapy technology have led to radiotherapy becoming one of the main therapeutics of HCC.Therefore,a suitable animal model for radiotherapy of the orthotopic HCC mouse model is urgently needed.Methods:In the present study,Hepa1-6 cells were injected into the liver of C57BL/6 mice in situ to mimic the pathological characteristics of the original HCC.Tumor formation was monitored by applying magnetic resonance imaging techniques and verified by H&E histopathological staining,AFP staining,and Ki67 staining.A single dose of 10 Gy X-ray was applied to simulate clinical radiotherapy plans using image-guided radiotherapy(IGRT)equipment.The efficiency of radiotherapy was then assessed by examining tumor size and weight one week after radiation.Cleaved-caspase3 staining and TUNEL were used to assess apoptosis in tumor tissues.Results:Intrahepatic tumor development was detected in the liver according using MRI.A high-density shadow could be seen 10 days after cell injection,which indicated the formation of HCC in vivo.The tumors grew steadily bigger,and underwent precision radiotherapy 20 days after injection.The typical pathological characteristics of HCC,such as large,deeply stained nuclei and irregular cell size,were visible with H&E staining.After radiotherapy,significantly higher expression of the immunohistochemical markers Ki67 and AFP were detected in tumor tissue than in the nearby normal tissue.Compared with the control group,the tumor volume(p=0.05)and weight(p<0.05)of the irradiated group were significantly reduced.In addition,a higher frequency of apoptosis was identified in irradiated HCC tumor tissue using the TUNEL and cleaved-caspase3 staining assay.Conclusions:In a well-established orthotopic HCC model,MRI was utilized to monitor the formation of tumors,and IGRT was used to simulate clinical radiotherapy.The present study could provide a suitable preclinical system for HCC radiotherapyrelated studies.展开更多
文摘骨盆髋臼骨折(pelvic and acetabular fractures,PAFs)是最常见的骨盆骨折类型之一,多为高能量损伤,骨盆髋臼结构复杂,手术方法有限。髋臼骨折本身所带来的创伤和术后需要长期卧床等情况,导致其临床并发症尤为复杂。静脉血栓栓塞(venous thromboembolic,VTE)是其众多并发症中发生率较高且后果严重的一种。本综述主要以PAFs术后导致的VTE为主要内容,分别从VTE的流行病学、危险因素以及防治措施三个方面展开叙述,旨在帮助改善预后,避免严重并发症的发生。
基金funded by“the Fundamental Research Funds for the Central Universities”,No.CUC23ZDTJ005.
文摘News media profiling is helpful in preventing the spread of fake news at the source and maintaining a good media and news ecosystem.Most previous works only extract features and evaluate media from one dimension independently,ignoring the interconnections between different aspects.This paper proposes a novel news media bias and factuality profiling framework assisted by correlated features.This framework models the relationship and interaction between media bias and factuality,utilizing this relationship to assist in the prediction of profiling results.Our approach extracts features independently while aligning and fusing them through recursive convolu-tion and attention mechanisms,thus harnessing multi-scale interactive information across different dimensions and levels.This method improves the effectiveness of news media evaluation.Experimental results indicate that our proposed framework significantly outperforms existing methods,achieving the best performance in Accuracy and F1 score,improving by at least 1%compared to other methods.This paper further analyzes and discusses based on the experimental results.
基金This research was funded by Beijing Municipal Social Science Foundation(23YTB031)the Fundamental Research Funds for the Central Universities(CUC23ZDTJ005).
文摘Users’interests are often diverse and multi-grained,with their underlying intents even more so.Effectively captur-ing users’interests and uncovering the relationships between diverse interests are key to news recommendation.Meanwhile,diversity is an important metric for evaluating news recommendation algorithms,as users tend to reject excessive homogeneous information in their recommendation lists.However,recommendation models themselves lack diversity awareness,making it challenging to achieve a good balance between the accuracy and diversity of news recommendations.In this paper,we propose a news recommendation algorithm that achieves good performance in both accuracy and diversity.Unlike most existing works that solely optimize accuracy or employ more features to meet diversity,the proposed algorithm leverages the diversity-aware capability of the model.First,we introduce an augmented user model to fully capture user intent and the behavioral guidance they might undergo as a result.Specifically,we focus on the relationship between the original clicked news and the augmented clicked news.Moreover,we propose an effective adversarial training method for diversity(AT4D),which is a pluggable component that can enhance both the accuracy and diversity of news recommendation results.Extensive experiments on real-world datasets confirm the efficacy of the proposed algorithm in improving both the accuracy and diversity of news recommendations.
基金Key R&D Program of China,Grant/Award Number:2022YFC2503700 and 2022YFC2503703National Natural Science Foundation of China,Grant/Award Number:81773226,82103483 and U1967220Shanghai Sailing Program,Grant/Award Number:20YF1459700。
文摘Background:Hepatocellular carcinoma(HCC)is the most common type of liver cancer.Recently,developments in radiotherapy technology have led to radiotherapy becoming one of the main therapeutics of HCC.Therefore,a suitable animal model for radiotherapy of the orthotopic HCC mouse model is urgently needed.Methods:In the present study,Hepa1-6 cells were injected into the liver of C57BL/6 mice in situ to mimic the pathological characteristics of the original HCC.Tumor formation was monitored by applying magnetic resonance imaging techniques and verified by H&E histopathological staining,AFP staining,and Ki67 staining.A single dose of 10 Gy X-ray was applied to simulate clinical radiotherapy plans using image-guided radiotherapy(IGRT)equipment.The efficiency of radiotherapy was then assessed by examining tumor size and weight one week after radiation.Cleaved-caspase3 staining and TUNEL were used to assess apoptosis in tumor tissues.Results:Intrahepatic tumor development was detected in the liver according using MRI.A high-density shadow could be seen 10 days after cell injection,which indicated the formation of HCC in vivo.The tumors grew steadily bigger,and underwent precision radiotherapy 20 days after injection.The typical pathological characteristics of HCC,such as large,deeply stained nuclei and irregular cell size,were visible with H&E staining.After radiotherapy,significantly higher expression of the immunohistochemical markers Ki67 and AFP were detected in tumor tissue than in the nearby normal tissue.Compared with the control group,the tumor volume(p=0.05)and weight(p<0.05)of the irradiated group were significantly reduced.In addition,a higher frequency of apoptosis was identified in irradiated HCC tumor tissue using the TUNEL and cleaved-caspase3 staining assay.Conclusions:In a well-established orthotopic HCC model,MRI was utilized to monitor the formation of tumors,and IGRT was used to simulate clinical radiotherapy.The present study could provide a suitable preclinical system for HCC radiotherapyrelated studies.
