A Xiphoid Elongation Following a Trauma Laparotomy: A Case Report

Xiphoid elongation is a rare phenomenon where the xiphoid process elongates after stimuli such as surgery, physical therapy, or trauma. We report on a 47-year-old male involved in a traffic accident who went into cardiac arrest. He received ongoing cardiopulmonary resuscitation for nine minutes before recovery of cardiac rhythm, and transfer from a local hospital to the trauma center. He received management for hypotensive shock which was temporarily corrected using Resuscitative Endovascular Balloon Occlusion of the Aorta, and underwent trauma laparotomy in which ileocolic artery ligation and a splenectomy were performed. Six months later, the patient reported epigastric discomfort when he bent over. A hard, linear mass was palpated along the upper midline incision scar and a computed tomography scan showed an elongated xiphoid process (10 cm). The patient underwent surgical excision, and electrocauterization of the xiphoid process. This is a rare case of xiphoid elongation following multiple stimuli to the xiphoid process

VANT : A Visual Analytics System for Refining Parallel Corpora in Neural Machine Translation

The quality of parallel corpora used to train a Neural Machine Translation (NMT) model can critically influence the model's performance. Various approaches for refining parallel corpora have been introduced, but there is still much room for improvements, such as enhancing the efficiency and the quality of refinement. We introduce VANT, a novel visual analytics system for refining parallel corpora used in training an NMT model. Our system helps users to readily detect and filter noisy parallel corpora by (1) aiding the quality estimation of individual sentence pairs within the corporaby providing diverse quality metrics (e.g., cosine similarity, BLEU, length ratio) and (2) allowing users to visually examine and manage the corpora based on the pre-computed metrics scores. Our system's effectiveness and usefulness are demonstrated through a qualitative user study with eight participants, including four domain experts with real-world datasets.N