The mesentery is a structure comprising a double peritoneal layer that attaches the bowel to the abdominal wall. Mesenteric disease can cause various non-specific clinical symptoms in adults and is sometimes found incidentally during unrelated diagnostic imaging studies. CT plays an essential role in the diagnosis of mesenteric disease, which can present with various radiologic features, including a solid mass, cystic mass, or local or diffuse infiltration on CT. Some mesenteric diseases present with distinctive characteristics, while others share similar findings, thereby complicating their differential diagnosis. Therefore, understanding the radiological findings of mesenteric disease is important for accurate diagnosis and appropriate treatment.

Electronic cigarette (e-cigarette) or vaping product use-associated lung injury (EVALI) has emerged as a social issue as e-cigarette use is rapidly increasing worldwide and is related to many deaths in the United States. To our knowledge, this is the first case report of EVALI in South Korea of a 24-year-old man with acute respiratory symptoms and a history of e-cigarette use. Chest CT revealed diffuse bilateral ground-glass opacities with subpleural sparing, airspace consolidation, and centrilobular micronodules as typical patterns of EVALI with organizing pneumonia and diffuse alveolar damage. Infection was excluded with meticulous laboratory examinations, and the patients' illnesses were not attributed to other causes. EVALI was diagnosed by meeting the diagnostic criteria with consistent clinico-radiologic findings through a multidisciplinary approach. Radiologists should have good knowledge of EVALI radiologic findings and play a cardinal role in the proper diagnosis and management of EVALI.

Flavored Tobacco Products (FTPs) are widely used by adolescents, youths, and women. Framework Convention on Tobacco Control recommends regulating tobacco flavoring. From May to June 2022, an online and qualitative survey of a nationwide panel of people aged 13-39 years was conducted. Of the 10,030 participants, 6,374 (63.5%) had used tobacco products.Among 5,243 current users, 4,045 (77.2%) were FTP users-an increase of 12.4%p from 64.8% in 2016. In terms of current FTP users by age group, 85.0% were aged 13-18, 80.1% were 19-24 years, and 74.5% were 25-39 years. There were twice as many respondents who said that FTP affected their first attempts to smoke, and the awareness of harmfulness was lowered.FTPs are also used in e-cigarettes and heated tobacco products. For first-time smokers who tried flavored cigarettes once or twice, the odds ratio (OR) for current smokers was 1.4 (95% confidence interval [CI], 1.2-1.6, age-adjusted) compared to those who started with unflavored cigarettes. The OR of continuing to smoke FTPs was 10.9 (95% CI, 9.5-12.4). It is necessary to continuously identify FTP patterns, improve awareness, and prepare countermeasures to prevent the addiction to tobacco among adolescents.

Objectives:The main purpose of this study was to explore longitudinal transactional and mediational relationships between mothers' happiness, parenting behaviors, and children's happiness during the transition from kindergarten to elementary school. Methods: This study used data from the 7th (T1) through 9th (T3) wave (2014)(2015)(2016) of the Panel Study on Korean Children (PSKC). Participants of this study were 1,302 mothers and their children, aged 6 to 8 years old. Data analysis was performed using autoregressive cross-lagged modeling. Results: First, the longitudinal transactional relationship was confirmed among mothers' happiness, maternal warmth, and children's happiness. Second, the longitudinal relationship between children's happiness at T1 and mothers' happiness at T3 was mediated by maternal warmth at T2. Finally, the longitudinal relationship between maternal warmth at T1 and mothers' happiness at T3 was mediated by children's happiness at T2. Conclusion:This study revealed longitudinal effects of transactional and mediational relationships on children, as well as on parents, in the transition period from kindergarten to elementary school. This finding highlighted the need for interventions to promote happiness of children at a familial level.

A 3D virtual character playing a role in a digital story-telling has a unique style in its appearance and motion. Because the style reflects the unique personality of the character, it is very important to preserve the style and keep its consistency. However, when the character's motion is directly controlled by a user's motion who is wearing motion sensors, the unique style can be discarded. We present a novel character motion control method that uses only a small amount of animation data created only for the character to preserve the style of the character motion. Instead of machine learning approaches requiring a large amount of training data, we suggest a search-based method, which directly searches the most similar character pose from the animation data to the current user's pose. To show the usability of our method, we conducted our experiments with a character model and its animation data created by an expert designer for a virtual reality game. To prove that our method preserves well the original motion style of the character, we compared our result with the result obtained by using general human motion capture data. In addition, to show the scalability of our method, we presented experimental results with different numbers of motion sensors.