We investigate how an IRS (Intelligent Reflective Surface) deployment within a terahertz (THz) band communication system, can detect and classify indoor vapour clouds expelled in violent expiratory events, such as coughing. This detection is of interest for public health systems. Since indoor spaces are sites for deployment of wireless communication infrastructure in any case, combined sensing and communication is an attractive solution. Using 6G networks to accomplish this while not affecting communication performance, is a relevant and useful application of THz signal’s properties. We use machine learning to distinguish between violent expiratory events and other aerosol emissions.

Simple Summary The tumor microenvironment (TME) is defined as the environment surrounding a tumor. There is a close, dynamic relation and interaction between the tumor and its neighboring microenvironment. There are some particularities of the thymus itself and of the TME of thymic epithelial tumors that hinder the routine use of targeted therapies, including immune checkpoint inhibitors. The understanding of the unique characteristics of the TME of thymic epithelial tumors could possibly result in the development of novel promising therapies. Abstract The tumor microenvironment (TME) is a complex and constantly changing entity. The TME consists of stromal cells, fibroblasts, endothelial cells, and innate and adaptive immune cells. Cancer development and progression occurs through this interplay between the tumor and the adjacent stroma. Cancer cells are capable of modifying their microenvironment by secreting various message-carrying molecules, such as cytokines, chemokines, and other factors. This action causes a reprogramming of the neighboring cells, which are enabled to play a crucial role in tumor survival and progression. The study of TME has many clinical implications in terms of cancer therapeutics because many new drugs, such as antibodies, kinase inhibitors, and liposome formulations that can encapsulate anti-cancer drugs, can be developed. Although chemotherapy is considered the standard of treatment for advanced disease, recent research has brought to light immunotherapy as a possible systemic alternative. However, the complex structure and function of the thymus hinders its routine use in clinical practice. The aim of this review paper is to discuss the recent advances in the investigation of the unique characteristics of the TME of thymic epithelial tumors that could possibly lead to the development of novel promising therapies.

This article presents a concept of a TSN Controller NetApp to support diverse vertical applications and provide Quality of Service guarantees during their life-cycle. The NetApp is composed of a Controller entity that receives and processes requests from vertical applications with specific network performance demands, and an Agent entity which applies configurations and monitors the state of network elements. This control architecture has been extended to support wireless TSN communication on top of openwifi, supporting the flexibility required by vertical applications with mobile devices such as drones and automated guided vehicles. We describe the building blocks of the TSNC NetApp supporting wired-wireless TSN deployments and show its experimental results demonstrating the feasibility of our solution.

Background: MRI techniques of the lumbar spine have not provided data on the effect of gravity on the spine and on the relationship of anatomic structures during its action. Because conventional MRI examinations of the spine are usually performed in the supine position these are often exacerbated by standing upright and are not evident in the supine position the loading conditions differ from those known to cause symptoms in patients with lumbar instability. Axial loading imaging may improve diagnostics in the clinical management of LBP and lead to appropriate treatment decisions. Objective: The aim of this study is to determine the significance of alMRI in detecting the morphologic changes of the lumbar spine caused by axial loading and to compare it with conventional MRI images of the lumbar spine without loading. Methods: The study was conducted as a prospective, descriptive clinical trial. Imaging was performed with a MRI 1.5 T in the head-first supine position. Imaging was performed in two acts: without load and under load. Loading for alMRI was performed with the DynaWell L-Spine device. The onset of loading was 10 minutes before the start of alMRI. The loading continued throughout the imaging procedure. The height of the IV, AP and LL diameters of IV, IV disk surface area, DSCA and width of the IV foraminas before and under load was measured. Results: After evaluating the changes in the height and size of the lumbar disks, the size of the DSCA, and the narrowing of the intervertebral foramina significant differences were found between the images before and after axial loading. Conclusion: alMRI provides information on morphological changes of all segments of the lumbar spine. This data represents significant information that can lead to more accurate and effective treatment of LBP.

Abstract Simulation of unsteady flow of SF6 gas in a simplified high-voltage circuit breaker model describing the nozzle, contacts and their nearest surrounding is presented. SF6 is considered as viscous, compressible, real gas described by Redlich-Kwong model. Heat transfer is taken into account due to the gas compressibility. The heat source, triggered by the electric arc between the contacts, was out of the scope of the current research, thus it was not included in the simulations presented. Turbulence, caused by the gas viscosity, is described using realizable k-ε model. In the simulation model, one of the contact sides – electrodes, is considered as moving at prescribed velocity. The part of the space ‘swept’ by the moving electrode is considered as the gas with imposed artificially increased viscosity in order to imitate the rigid body behaviour. Thus, no moving parts of the computational mesh are used in the model. The conservation equations of mass, momentum and energy, given in integral form, are solved using a finite-volume method on unstructured computational grids.

Background: The COVID-19 pandemic has generated significant symptoms of stress, anxiety, and depression among health care workers, which can negatively affect the health and well-being of individuals. Although the WHO stressed the importance of nurturing mental health in the context of the COVID-19 pandemic, a more significant response focused on this area was still lacking in most countries. Objective: The aim of the study was to examine the differences in the levels of depression, anxiety, and stress in healthcare professionals in relation to exposure to contact with COVID-19 positive patients, as well as to examine the differences and correlation of sociodemographic characteristics of health workers in the experience of symptoms of depression, anxiety and stress. Methods: The research included 266 respondents, and it used a socio-demographic questionnaire and the DASS-21 scale. Mann-Whitney U tests, Kruskal-Wallis test and Spearman correlation coefficient were used in data processing. Results: The prevalence of high to extremely high symptoms of depression was reported in 45.49% of employees, anxiety 63.91% and stress 23.22%. Those who have been in continuous contact with COVID-19 positive patients, or 27.07%, report experiencing high or extremely high symptoms of depression, 36.60%, high to extremely high symptoms of anxiety, and 22.18% high to extremely high symptoms of stress. Discussion: The degree of self-care and family care, education level, and work experience were found to be a statistically significant factor in experiencing symptoms of depression, anxiety, and stress. Workers who were more in contact with COVID19 patients reported a higher degree of symptom on the DASS-21 scale. Those employees with more work experience had previously encountered similar situations of uncertainty and pressure, had better developed defense mechanisms, and showed less pronounced symptoms. A higher level of education often implies a higher degree of involvement in active treatment around each patient, which results in more responsibility and pressure in a given situation. Conclusion: High levels of stress, anxiety and depression in healthcare workers can lead to repercussions in their work with patients. Therefore, the mental health of health workers should be put in focus, as a very important part of the public health problem during the COVID19 pandemic.