The challenges of Named Entities Recognition (NER) for tweets lie in the insufficient information in a tweet and the unavailability of training data. We propose to combine a K-Nearest Neighbors (KNN) classifier with a linear Conditional Random Fields (CRF) model under a semi-supervised learning framework to tackle these challenges. The KNN based classifier conducts pre-labeling to collect globa...

In this paper, we propose a Runtime Neural Pruning (RNP) framework which prunes the deep neural network dynamically at the runtime. Unlike existing neural pruning methods which produce a fixed pruned model for deployment, our method preserves the full ability of the original network and conducts pruning according to the input image and current feature maps adaptively. The pruning is performed i...

In recent years, data collected from remote sensing satellite and aerophotography have been showing a geometric sequence increase. A method of Scale Invariant Feature Transform (SIFT) algorithm could be employed for the automatic geometric fine correction. This method could avoid the impact of the rotation and zooming of template matching during the image matching process, and it can also save ...

Recent outbreaks of infection with highly pathogenic H5N1 strains of avian influenza virus in poultry in Asia, Africa, Europe, and the Middle East have raised concern over the potential emergence of a pandemic strain that can easily infect humans and cause serious morbidity and mortality. To prevent and control a national outbreak, the US Department of Agriculture (USDA) conducts measures based...

applying professional values is an important issue in nursing practice. it is also crucial to find out nurses' perspectives toward ethical and professional values in the clinical environment. for this purpose, we aimed to utilize a standard tool to survey perspectives on applying these values in nursing care in hospitals of isfahan, iran. this is a descriptive-analytical study in which 150 nurs...

introducrion: self and peer a ssessment provides important information about the individual’s performance and behavior in all aspects of their professional environment work. the aim of this study is to evaluate the professional behavior and performance in medical students in the form of team based assessment. methods: in a cross-sectional study, 100 medical students in the 7th year of education...

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Purpose The main objectives of collective forest tenure reform in China are to stimulate rural households invest forestry management, protect the ecosystem and improve their livelihood. By constructing unbalanced panel data household investment, this study discusses dynamic changes influencing factors which will lay a foundation for further research provide reference decision-making. Design/met...