The Epidemiologic Characteristics of Malignant Mesothelioma Cases in Korea: Findings of the Asbestos Injury Relief System from 2011–2015

(1) Background: The purpose of this study was to investigate the epidemiological characteristics of malignant mesothelioma in Korea by investigating cases compensated under the asbestos injury relief system. (2) Methods: A total of 407 compensated cases between 2011 and 2015 were reviewed using medical records and resident registrations in order to investigate the dates of diagnosis and death. Asbestos exposure and patients’ general characteristics were investigated through face-to-face interviews. The standardized incidence ratio was calculated as the number of observations from 2005 to 2014 per exposure region in Korea, using the mid-annual population of each region in 2009 as the standard population. (3) Results: Among the 407 cases, 65.1% were male. The pleura and peritoneum were affected in 76.9% and 23.1% of cases, respectively. For peritoneal mesothelioma, the median survival duration was longer (p = 0.005), and the proportion of affected women was higher than that in pleural mesothelioma. The standardized incidence ratio (95% CI) by province of primary exposure was Chungnam 3.33 (2.51–4.35), Ulsan 1.85 (0.97–3.21), and Seoul 1.32 (1.06–1.63). (4) Conclusions: Although the representativeness of the data is limited, it is sufficient to assume the epidemiologic characteristics of malignant mesothelioma, help improve the compensation system, and contribute to future policies.

First known case of successful pressure ulcer treatment in a lung transplant patient with post-COVID-19 pneumonia

Given the current COVID-19 crisis, multiple clinical manifestations and related complications of COVID-19 disease, especially in lung transplant patients following post-COVID-19 pneumonia, are a major challenge. Herein, we report the therapeutic course of the first reported case of sacrococcyx pressure ulcers (PU) in a 65-year-old male COVID-19 patient who underwent lung transplantation and developed a PU following surgery. We used a combination of regulated negative pressure-assisted wound therapy system (RNPT, six treatment courses, five days per treatment course), a skin tension-relief system (an intraoperative aid in minimising wounds caused by sacrococcygeal PUs) and a gluteus maximus myocutaneous flap to repair sacrococcygeal wounds. This successfully treated case provides a reference point for the treatment of similar cases.

Virtual Reality based Stress Relief System

With the ascent of modern technology, the call for constant connectivity has led to growing physical and mental health concerns among the general masses. This inter connectivity has overwhelmed the populace with no room for relief. The objective of this project is to emulate environments and scenarios of the user’s choosing through the use of mobile and dedicated virtual reality systems. These systems present an audio visual experience to the users with the added benefits of interactivity and immersion that become possible by using Virtual Reality as the base technology. These emulated environments are constructed to calm the user and help to immerse the user within these environments to calm the user in a stressful environment

An Efficient Damage Relief System based on Image Processing and Deep Learning Techniques

The Unmanned Aerial Vehicle (UAV) has been around for a long time but has been widely used recently by humans. Their acceptance of various communications-based applications is expected to improve coverage, compared to traditional ground-based solutions. In this paper, the Deep-learning and Image Processing Process framework is expected to provide solutions to the various problems already identified when UAVs are used for communication purposes. UAVs are used in disaster relief because of their accessibility even in inaccessible places. In this paper, we propose research into Deep learning and Image Processing strategies for UAVs. In deep learning is a form of machine learning that teaches computers to do what comes naturally to people: learn by example and get a lot of attention recently and for a good reason. It achieves previously impossible results. Image processing is the process of performing a specific task on an image, finding an enhanced image or extracting useful information from it. So our paper has the idea of using in depth face recognition and photo processing a digital photo taken by the UAV to identify victims of rescue, overcoming back to the latest UAV technology some of which include blurry images, unable to identify the victim when there are too many objects and much more. The solution includes a variety of features that allow for the distribution of images. It includes features and presentation of image detection and demonstrates the effectiveness of drone use in damage applications.