The Effect of Patient's Asymmetric Information Problem on Medical Care Utilization with Consideration of a Patient's Ex-ante Health Status

Even if a patient's access to health information has been enhanced, a patient still doesn't have enough ability to utilize it. Therefore, a doctor's effort to sincerely communicate with a patient might affect the patient's use of medical care. This paper builds up the empirical model and found the effect of a doctor's effort on patient's medical care use was significant and according to the ex-ante health status of a patient, a doctor's effort influenced a patient's medical care use in different way.asymmetry of information between doctor and patient, patient's medical care use, doctor's effort to effectively communicate with patients, patient's ex-ante health status

Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification

In person re-identification (ReID) task, because of its shortage of trainable dataset, it is common to utilize fine-tuning method using a classification network pre-trained on a large dataset. However, it is relatively difficult to sufficiently fine-tune the low-level layers of the network due to the gradient vanishing problem. In this work, we propose a novel fine-tuning strategy that allows low-level layers to be sufficiently trained by rolling back the weights of high-level layers to their initial pre-trained weights. Our strategy alleviates the problem of gradient vanishing in low-level layers and robustly trains the low-level layers to fit the ReID dataset, thereby increasing the performance of ReID tasks. The improved performance of the proposed strategy is validated via several experiments. Furthermore, without any add-ons such as pose estimation or segmentation, our strategy exhibits state-of-the-art performance using only vanilla deep convolutional neural network architecture.Comment: Accepted to AAAI 201

Insect Fauna of Mt. Jang-san, Yeongwol-gun, Gangwon-do, Korea

AbstractAn entomofauna study of Jangsan Mountain (1,408.8 m) in Yeongwol-gun, Gangwon-do was carried out from April to September, 2010. The distribution of 384 species, 91 families and 12 orders was confirmed from the study area

Class-Attentive Diffusion Network for Semi-Supervised Classification

Recently, graph neural networks for semi-supervised classification have been widely studied. However, existing methods only use the information of limited neighbors and do not deal with the inter-class connections in graphs. In this paper, we propose Adaptive aggregation with Class-Attentive Diffusion (AdaCAD), a new aggregation scheme that adaptively aggregates nodes probably of the same class among K-hop neighbors. To this end, we first propose a novel stochastic process, called Class-Attentive Diffusion (CAD), that strengthens attention to intra-class nodes and attenuates attention to inter-class nodes. In contrast to the existing diffusion methods with a transition matrix determined solely by the graph structure, CAD considers both the node features and the graph structure with the design of our class-attentive transition matrix that utilizes a classifier. Then, we further propose an adaptive update scheme that leverages different reflection ratios of the diffusion result for each node depending on the local class-context. As the main advantage, AdaCAD alleviates the problem of undesired mixing of inter-class features caused by discrepancies between node labels and the graph topology. Built on AdaCAD, we construct a simple model called Class-Attentive Diffusion Network (CAD-Net). Extensive experiments on seven benchmark datasets consistently demonstrate the efficacy of the proposed method and our CAD-Net significantly outperforms the state-of-the-art methods. Code is available at https://github.com/ljin0429/CAD-Net.Comment: Accepted to AAAI 202

Insect Fauna of Island Gangwha-do with its nearby Islands, Incheon Metropolitan city, Korea

AbstractThis study was conducted to clarify the current status of insects of Is. Gangwha-do (Mt. Goryeo-san, 436 m) as well as some nearby islands (Is. Gyodong-do, Is. Boleum-do, Is. Jumun-do and Is. Seokmo-do (Mt. Haemyeong-san, 327 m)) through June and September, 2009. A total of 206 insects of 104 species of 38 families and 6 orders was investigated by this survey