Dissecting a human cadaver is an irreplaceable practice in general training of medical students. Cadavers in anatomy laboratories are usually preserved in formalin, an embalming fluid whose basic component is formaldehyde (FA). The aim of this study is to assess the cancer risk of employees and students that are exposed to FA based on the results of three monitoring campaigns, as well as to suggest permanent solutions to the problem of FA exposure based on the results obtained. Three sampling campaigns of formaldehyde concentration in indoor environments were conducted at five different locations at the Anatomy Department of the Faculty of Medicine with the purpose of assessing permanent employees’ and medical faculty first year students’ exposure to FA. Indoor air was continuously sampled during 8 h of laboratory work and analyzed in accordance with the NIOSH Method 3500. Exceeding of the 8 h time-weighted average (8 h TWA) values recommended by Occupational Safety and Health Administration (OSHA) of 0.75 ppm was recorded in 37% of the samples during the three-month monitoring campaign. Cancer risk assessment levels for permanent employees were in the range from 6.43 × 10⁻³ to 8.77 × 10⁻⁴, while the cancer risk assessment levels for students ranged from 8.94 × 10⁻⁷ to 1.83 × 10⁻⁶. The results of the research show that cancer risk assessment for employees is several thousand times higher than the limit recommended by the EPA (10⁻⁶) and point to the importance of reducing exposure to formaldehyde through the reconstruction of the existing ventilation system, continual monitoring, the use of formaldehyde-free products, and plastination of anatomical specimens.

In this work we wanted to determine how students of Graphic engineering and design perceived online learning a year after the transition from traditional to online classes. The goal was to better understand problems, challenges, and good sides of online learning in this study field, and deter-mine factors that impede knowledge transfer. The students' responses were collected via an anonymous online survey, which consisted of a series of questions that covered: conditions in which online classes are attended, communication channels, problems and how they are dealt with, under-standing and motivation. The biggest challenges for our students were to sustain their attention and concentration during classes despite the distractors in their environments, and to keep their motivation despite the lack of direct interaction, social isolation, and too much computer time. Their technological and digital literacy were of great use in adapting to the online platforms and applications, as well as in solving technical problems that prevented them from following the classes. Even though online courses allow students to be more flexible and potentially combine work and study, most of our students do not think that their attendance and engagement in the studies increased in the last period. It is also undisputed that our students were dealing with a lot of stress and anxiety and that their emotional state highly influenced their perception of online learning. Hence, we firmly believe that apart from making online courses more engaging and interactive, it is of utmost importance to find a proper way to motivate and psychologically support students in the online learning environment, especially in times that require a high degree of resilience.

Artificial intelligence has entered into many aspects of our lives – from virtual assistants and Netflix's recommendations, to fraud prevention and autonomous vehicles. In this paper we present an overview of the current use of artificial intelligence in printing industry. We discuss what does it imply for printers and clients, and how it might be used in the future. Since the main idea behind creating artificial intelligence is to mimic the capabilities of human mind, it does not surprise the fact that in printing it is mostly use for monitoring and decision making. Smart algorithms for choosing different layouts in order to minimize print waste, automated process control, creating targeted catalogues, are just a few examples. Even though the printing industry is one of the few not so disrupted by AI, it seems that the things are changing, and we might expect to see more of AI in printing in the near future.