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The occurrence and the consistency of the popliteomeniscal fascicle between the popliteus tendon and the lateral meniscus have been the subject of debate. It is difficult to diagnose and treat popliteomeniscal fascicle tears. Furthermore, popliteomeniscal fascicle tears are difficult to identify with arthroscopy. This article describes the diagnostic factors for popliteomeniscal fascicle tears and the safe, effective operative techniques that can be used for their treatment. We suggest that popliteomeniscal fascicle tears are diagnosed when the following 3 conditions are confirmed: (1) existence of mechanical symptoms such as pain, locking, and giving way in the lateral compartment of the knee; (2) identification of hypermobility of the lateral meniscus through arthroscopic probing; and (3) occurrence of an osteochondral lesion in the posterior area of the lateral femoral condyle. In the case of popliteomeniscal fascicle tears, the tear area can be repaired with a suture hook and polydioxanone with an all-inside technique. If the joint space is narrowing because of soft-tissue tightness, it can be repaired with a zone-specific cannula through an inside-out technique.

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The aim of this study was to classify types of Hallyu tourists based on their preferences for “Korean wave” products and to identify the factors influencing each tourist type. Results of cluster analysis suggested that the three-cluster solution was the most coherent and interpretable. Cluster 1 was named the “low involvement type,” and Clusters 2 and 3 were named the “consumption seeking type” and the “active film-induced tourism seeking type,” respectively. According to the results of the application of the multinomial logit model, the factors influencing the three tourist types were different. Additionally, the mean willingness-to-pay values were distinctive. The results of this study indicate both theoretical and marketing strategies for the tourism industry. One of the most important marketing implications is that there is a need to develop products including events involving famous television or movie stars, invitations to previews, tours of a television or film set, and honeymoon trips to film locations.

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A simple probabilistic method for online video based human identification is introduced in this article. The proposed method is based on a modified version of Motion Silhouette images (MSI) and recursive probability accumulation. The modified version of MSI is named the Moving Motion Silhouette Image (MMSI). Identification probability is accumulated recursively in a Bayesian framework to draw a single conclusion from the whole gait sequence. The probability is named the accumulated posterior probability (APP) and denotes the probability based on all the information available up to now. The proposed method is tested on the well-known publicly available NLPR and SOTON gait databases. The experimental results demonstrate the effectiveness of the proposed algorithm and indicate the fact that using MMSI and APP for information fusion yields higher recognition rates as compared to previous gait recognition systems. V