Transient Global Amnesia After Ablation of the Left Lateral Accessory Pathway

Transient global amnesia (TGA) could be encountered in many situations even during invasive procedures. In ablation therapy for arrhythmia, there was only one reported case in the ablation of premature ventricular beats. We report a 31-year-old man having paroxysmal supraventricular tachycardia who underwent TGA at the end of ablation and recovered quickly after 8-9 hours later. Long-term follow-up showed no neurologic deficits for 8 months

Face Recognition from Weakly Labeled Data

Recognizing the identity of a face or a person in the media usually requires lots of training data to design robust classifiers, which demands a great amount of human effort for annotation. Alternatively, the weakly labeled data is publicly available, but the labels can be ambiguous or noisy. For instance, names in the caption of a news photo provide possible candidates for faces appearing in the image. Names in the screenplays are only weakly associated with faces in the videos. Since weakly labeled data is not explicitly labeled by humans, robust learning methods that use weakly labeled data should suppress the impact of noisy instances or automatically resolve the ambiguities in noisy labels. We propose a method for character identification in a TV-series. The proposed method uses automatically extracted labels by associating the faces with names in the transcripts. Such weakly labeled data often has erroneous labels resulting from errors in detecting a face and synchronization. Our approach achieves robustness to noisy labeling by utilizing several features. We construct track nodes from face and person tracks and utilize information from facial and clothing appearances. We discover the video structure for effective inference by constructing a minimum-distance spanning tree (MST) from the track nodes. Hence, track nodes of similar appearance become adjacent to each other and are likely to have the same identity. The non-local cost aggregation step thus serves as a noise suppression step to reliably recognize the identity of the characters in the video. Another type of weakly labeled data results from labeling ambiguities. In other words, a training sample can have more than one label, and typically one of the labels is the true label. For instance, a news photo is usually accompanied by the captions, and the names provided in the captions can be used as the candidate labels for the faces appearing in the photo. Learning an effective subject classifier from the ambiguously labeled data is called ambiguously labeled learning. We propose a matrix completion framework for predicting the actual labels from the ambiguously labeled instances, and a standard supervised classifier that subsequently learns from the disambiguated labels to classify new data. We generalize this matrix completion framework to handle the issue of labeling imbalance that avoids domination by dominant labels. Besides, an iterative candidate elimination step is integrated with the proposed approach to improve the ambiguity resolution. Recently, video-based face recognition techniques have received significant attention since faces in a video provide diverse exemplars for constructing a robust representation of the target (i.e., subject of interest). Nevertheless, the target face in the video is usually annotated with minimum human effort (i.e., a single bounding box in a video frame). Although face tracking techniques can be utilized to associate faces in a single video shot, it is ineffective for associating faces across multiple video shots. To fully utilize faces of a target in multiples-shot videos, we propose a target face association (TFA) method to obtain a set of images of the target face, and these associated images are then utilized to construct a robust representation of the target for improving the performance of video-based face recognition task. One of the most important applications of video-based face recognition is outdoor video surveillance using a camera network. Face recognition in outdoor environment is a challenging task due to illumination changes, pose variations, and occlusions. We present the taxonomy of camera networks and discuss several techniques for continuous tracking of faces acquired by an outdoor camera network as well as a face matching algorithm. Finally, we demonstrate the real-time video surveillance system using pan-tilt-zoom (PTZ) cameras to perform pedestrian tracking, localization, face detection, and face recognition

A Study of Mazuism Religious Tourism in Taiwan: an Example of Dajia Jenn Lann Temple

Although the study of Mazuism has been popular among scholars, few have attempted to touch upon its religious tourist behaviour; however, as the purpose of their travel is to worship at the Mazu Temple, it is thus, a tourism destination. Therefore, from the perspective of religious sustainable operation, it is important to understand the tourist behavior patterns of religious tourists visiting Mazu Temple. The purpose of this study is to analyze the interrelationships between destination image, service quality, perceived value, satisfaction, and behavioural intention. This study is conducted with convenience sampling methods for tourists visiting Jenn Lann Temple in Dajia, Taichung, Taiwan, and a total of 408 valid questionnaires are obtained. The valid questionnaires collected in this study are statistically analysed using descriptive statistics and PLS. The results show that destination image, service quality, perceived value, and satisfaction have positive impacts on tourists’ behavioural intention. According to the results of the above analysis, this study constructs a religious tourism behaviour model of Mazu believers and gives management advice to the Mazu Temple

A Study Of Travel Agency Collaboration And Co-Creation In The Tourism Industry

This study explores the dynamics of collaboration between travel agencies and their suppliers in co-creating value with their customers. It examines the relationship among six collaboration elements (co-creation dynamics), service innovation, competitive advantage, technology adoption and environmental change, and the moderating effect of trust on the co-creation elements and service innovation. The effects of technology adoption and environmental changes on the six elements were also examined. Results indicate that all the above effects are significant, and trust enhances the effect of the elements on innovation for Taiwan travel agencies. However, technology adoption and trust differed for the Malaysian travel agencies

Frontal skull craniotomy combined with moderate-dose radiotherapy effectively ameliorate a rare case of non-secretory, multiple myeloma with orbital involvement

<p>Abstract</p> <p>Background</p> <p>Orbital infiltration in patients with multiple myeloma is a rare condition, with less than 50 cases reported in the medical literature. Most patients undergo conservative treatment because multiple myeloma is a disseminated systemic disease.</p> <p>Case presentation</p> <p>A 43-year-old male subject with multiple myeloma and long-term survival presented with orbital involvement. The subject lacked the typical features and poor prognostic factors associated with multiple myeloma, such as renal failure, hypercalcemia, and paraprotein in the serum and urine. The orbital computed tomographic scan revealed the tumor encasing the optic nerve, but without prominent bony destruction. Therefore, a frontal skull craniotomy with an epidural entrance to the orbital space was performed, to completely extirpate the orbital mass. The surgical procedure was followed by moderate-dose radiation therapy. After 32 months of follow-up care, the subject is doing well with excellent local control.</p> <p>Conclusion</p> <p>Although the effectiveness and applicability of this approach remains to be determined, this case report demonstrates that accurate and early detection combined with local surgical treatment and appropriate radio/chemotherapy, can be applied to effectively extend an orbital multiple myeloma patient's life.</p