The rapid advancements in information and communications technologies (ICT) and the increasing number of smart things shift an old-fashioned healthcare system to a model better suited for a population of the 21st century. New healthcare approaches based on Internet of Things (IoT)/Internet of Medical Things (IoMT) powered systems make health monitoring, diagnostics and treatment more personalized, timely and convenient, enabling a global approach to the healthcare system infrastructure development. Commercial systems in this area exist in various forms but usually do not fit the general patient needs, and those that do are usually economically unacceptable due to the high operational and development costs. Do It Yourself (DIY) healthcare, including mobile applications and consumer medical devices, nowadays is the top healthcare trend. Therefore, this paper, based on well-known low-cost technologies, presents a DIY IoMT solution for observing human vital parameter as well as environmental factors affecting health.

Introduction: The aim of this paper was to evaluate the managerial knowledge and skills of mid-level managers – medical doctors in Medical center of the Canton Sarajevo.Methods: A cross-sectional study of the mid-level managers in the Medical center of the Canton Sarajevo was conducted using an originally developed questionnaire for self-assessment of managerial knowledge and skills. The respondents answered each of the questions using a 5-point Likert scale. Apart from the quantitative section, the respondents could present their observations concerning the educational needs in the health care system.Results: Almost 40% of the respondents said that the process of assessing health care needs is not conducted. No statistical significance was observed in the responses according to the length of service in a managerial position. In total, 41% of the respondents were not sure whether a plan exists, even though the development of these plans should be a principal managerial responsibility in the quality management. Managers who were longer in the position reported no plans for corrective actions. This result was in contrast with the answers obtained from the managers who were in the position for a shorter period. In addition, 91% of the respondents said that they regularly discuss problems with their employees.Conclusions: Self- assessment and assessment of managerial competencies should be regular activities in a health care organization, in order to monitor the knowledge and skills, as well as to make the development plans. The results of this study could serve as the basis for planning and developing the health management education in the Canton Sarajevo.

Invasive breast cancer is a heterogeneous disease. The analysis of one or a group of specific gene expression profiles may not be enough to understand molecular activities in cancer cells. Therefore, a method which gives us the opportunity to compare similar up and down regulated gene expression profiles, is needed. The main purpose of our work is to sort the extreme high and low expressed genes and extract, compare and cluster them. Expression profiles of 598 samples of invasive breast cancer and 48 samples of normal tissue have been analysed to create a new algorithm called Extreme Gene Expression Family (EGEF). The EGEF algorithm sorted, grouped and compared the highest and the lowest expressed genes (n = 100). According to the hierarchical clustering result, dense and light memberships of gene families are detected. The resulting analysis allows us to predict which genes would show similar expression signatures in invasive breast cancer and to us to recognize specific biological activities and processes. EGEF algorithm can be used to detect expression signatures in other cancers and biological processes.

Robots are more and more leaving our labs and entering natural interaction settings, such as homes, care facilities, factories, kindergartens, museums, and many more. In the HRI research community, we are aware of all the challenges involved in studying autonomously behaving agents "in the wild". In order "not to go wild" we want to discuss best practices as well as pitfalls in studying robots in natural interaction settings. Specifically, we want to focus on challenges in the development of systems for everyday usage in peoples' homes and on challenges in evaluating these systems in the wild, especially with regard to long-term interaction. We want to discuss and explore common and new methodological approaches to study HRI outside the lab, and collect recommendations for fellow researchers. In tandem, we want to reflect our visions for the "new era of socially capable robots" and how we as robot developers and researchers imagine them to integrate into the fabrics of our everyday life.

We are excited to welcome you to the Eleventh Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2016). The HRI Conference is a highly selective, single track, international meeting showcasing the best research in human-robot interaction, with roots in and broad participation from various communities of scholars, including but not limited to robotics, human-computer interaction, artificial intelligence, engineering, social and behavioral sciences, and design.

We are excited to welcome you to the Eleventh Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2016). The HRI Conference is a highly selective, single track, international meeting showcasing the best research in human-robot interaction, with roots in and broad participation from various communities of scholars, including but not limited to robotics, human-computer interaction, artificial intelligence, engineering, social and behavioral sciences, and design. The theme of this year's conference is "Natural Interaction," an increasingly important research focus and design goal as robotic technologies become incorporated into everyday life. Achieving natural human-robot interaction requires the input of many technical, social, and design disciplines, as well as reflection on the societal consequences and ethical significance of robotic development. To represent the multitude of disciplines and approaches that contribute to this work and the HRI field more generally in the conference program, we solicited and reviewed papers under four submission themes: "Studies of HRI", "Technical Advancements in HRI", "HRI Design", and "Theory and Method in HRI." Each submission theme was overseen by a dedicated theme chair and reviewed by a dedicated group of program committee members, who worked together with the program chairs to define and apply review criteria appropriate to each of the four contribution types. The conference attracted 181 submissions from Asia-Pacific, Europe, the Middle East, and North America. Each full paper was aligned with a theme-appropriate subcommittee, and subsequently reviewed through a double-blind process, which was followed by a rebuttal phase, and shepherding where suggested by the program committee. As a result of the review process, the program committee selected 45 (24.8%) of the submissions for presentation as full papers at the conference. As the conference is jointly sponsored by IEEE and ACM, papers are archived in both IEEE Xplore and the ACM Digital Library. Along with the full papers, the conference program and proceedings include the Late Breaking Reports, Videos, Demos, and a new alt.HRI section. Out of 95 total submissions, 71 (74.7%) Late Breaking Reports were accepted and will be presented as posters at the conference. Eleven (85%) short videos were accepted for presentation during a dedicated video session from 13 submissions. The program also includes four demos of robot systems that participants will have an opportunity to interact with during the conference. We're very excited to introduce an alt.HRI session in this year's program, consisting of five papers (selected out of 11 submissions) that push the boundaries of thought and practice in the field. Finally, we have the pleasure of presenting three inspiring keynote speakers who will discuss topics relevant to HRI: Dr. Aude Billard from EPFL in Switzerland, Dr. Marc Sagar from the University of Auckland in New Zealand, and Dr. Robert Sparrow from Monash University in Australia.

Robot designers commonly emphasize humanlikeness as an important design feature to make robots social or user-friendly. To understand how users make sense of the design characteristics of robots, we asked 6 participants to classify and interpret the appearance of existing robots in relation to their function and potential usefulness. All the robots had humanlike aspects in their design, and participants most commonly remarked on these humanlike features of the robots. However, the commonsense logic of the “Uncanny Valley” (UV) in HRI design, which suggests that robots should be similar to humans to some degree without being too humanlike, was not supported by participant comments, which did not correlate humanlikeness to user-friendliness in line with the UV hypothesis. Rather, participants related the design features of robots to their everyday contexts, and focused their commentary on context-dependent design implications. As a result, we suggest our understanding of the design characteristics of robots should include the perspectives of users from the earliest stages of design so we can understand their contextual interpretations of different design characteristics. Open and modularized technical platforms could support the inclusion of users in the creation of future social robots.

Microdeletion syndromes are caused by chromosomal deletions of less than 5 megabases which can be detected by fluorescence in situ hybridization (FISH). We evaluated the most commonly detected microdeletions for the period from June 01, 2008 to June 01, 2015 in the Federation of Bosnia and Herzegovina, including DiGeorge, Prader-Willi/Angelman, Wolf-Hirschhorn, and Williams syndromes. We report 4 patients with DiGeorge syndromes, 4 patients with Prader-Willi/Angelman, 4 patients with Wolf-Hirschhorn syndrome, and 3 patients with Williams syndrome in the analyzed 7 year period. Based on the positive FISH results for each syndrome, the incidence was calculated for the Federation of Bosnia and Herzegovina. These are the first reported frequencies of the microdeletion syndromes in the Federation of Bosnia and Herzegovina.

Great scientific discoveries rarely originate from small and poor countries. However, the lives and achievements of three Yugoslav scientists who were active in the biomedical sciences, Laza K. Lazarevic (1851-1891), Ivan Djaja (1884-1957), and Pavao Stern (1913-1976), serve as an example of success in this environment. These scientists, as well as the majority of other successful investigators in small and poor countries, were trained in foreign and developed countries and, upon return, were given the freedom to start a self-dependent research program. They overcame many obstacles, including wars and civil unrests, to contribute significantly to certain medical fields. It is interesting that although a Jew, Stern was allowed to work during the World War II in Zagreb, which became capital of the so-called Independent State of Croatia, a puppet state under German control. Perhaps his good name among pharmacologists helped him to keep position during this tough period. Nowadays, new technologies needed for biomedical research are rather expensive, and poor countries cannot afford to finance many scientists. Thus, selection of the most productive researchers is the challenge for those who finance scientific work.