The fourth industrial revolution introduced additional requirements on the industrial systems' control software in order to cope with current manufacturing systems' flexibility demands. These requirements include, among others, a dynamic reconfigurability, software reusability and an external service orchestration. This work presents the design of an industry 4.0 compliant control software architecture resulting from an iterative design process. The architecture is based on the reconfiguration services of the IEC 61499 standard and the service orchestration via OPC UA. We demonstrate the software architecture's compliance to the industry 4.0 requirements on an aluminum cold rolling mill plant demonstrator.

Prioritizing molecular alterations that act as drivers of cancer remains a crucial bottleneck in therapeutic development. Here we introduce HIT'nDRIVE, a computational method that integrates genomic and transcriptomic data to identify a set of patient-specific, sequence-altered genes, with sufficient collective influence over dysregulated transcripts. HIT'nDRIVE aims to solve the "random walk facility location" (RWFL) problem in a gene (or protein) interaction network, which differs from the standard facility location problem by its use of an alternative distance measure: "multi-hitting time", the expected length of the shortest random walk from any one of the set of sequence-altered genes to an expression-altered target gene. When applied to 2200 tumors from four major cancer types, HIT'nDRIVE revealed many potentially clinically actionable driver genes. We also demonstrated that it is possible to perform accurate phenotype prediction for tumor samples by only using HIT'nDRIVE seeded driver gene modules from gene interaction networks. In addition, we identified a number of breast cancer subtype-specific driver modules that are associated with patients' survival outcome. Furthermore, HIT'nDRIVE, when applied to a large panel of pan-cancer cell-lines, accurately predicted drug efficacy using the driver genes and their seeded gene modules. Overall, HIT'nDRIVE may help clinicians contextualize massive multi-omics data in therapeutic decision making, enabling widespread implementation of precision oncology.

Prioritizing molecular alterations that act as drivers of cancer remains a crucial bottleneck in therapeutic development. Here we introduce HIT'nDRIVE, a computational method that integrates genomic and transcriptomic data to identify a set of patient-specific, sequence-altered genes, with sufficient collective influence over dysregulated transcripts. HIT'nDRIVE aims to solve the “random walk facility location” (RWFL) problem in a gene (or protein) interaction network, which differs from the standard facility location problem by its use of an alternative distance measure: “multihitting time,” the expected length of the shortest random walk from any one of the set of sequence-altered genes to an expression-altered target gene. When applied to 2200 tumors from four major cancer types, HIT'nDRIVE revealed many potentially clinically actionable driver genes. We also demonstrated that it is possible to perform accurate phenotype prediction for tumor samples by only using HIT'nDRIVE-seeded driver gene modules from gene interaction networks. In addition, we identified a number of breast cancer subtype-specific driver modules that are associated with patients’ survival outcome. Furthermore, HIT'nDRIVE, when applied to a large panel of pan-cancer cell lines, accurately predicted drug efficacy using the driver genes and their seeded gene modules. Overall, HIT'nDRIVE may help clinicians contextualize massive multiomics data in therapeutic decision making, enabling widespread implementation of precision oncology.

Aim of this paper was to examine effectiveness and efficiency of examination of hearing status of persons with hearing impairment in form of applicable diagnostic software, in relation to classical approach. Sample was comprised of 90 respondents and was formed out of two subsamples. First subsample was comprised of 45 students with hearing impairment with a degree of impairment of over 80 dB, both genders, age from 6 to 15 years and without any other disabilities. Second subsample was comprised of 45 students (absolvents) from department of audiology. For data gathering, audiogram, applicable diagnostic software and scale for evaluation of attention and cooperation were used. Data was processed with descriptive analysis, McNemar and Wilcoxon tests. Results of the research confirmed that applicable diagnostic software provide more effective and more efficient diagnostic procedures for examining hearing status of persons with hearing impairment in relation to classical approach.

Isaacs Sedick, PhD (1940-2012) was born and grew up in the Bo-Kaap, Cape Town, Western Cape. From an early age, Isaacs was fascinated with science and was engaged in performing science experiments at home. At the age of 13, he was involved in distributing political pamphlets and attending meetings of the Teachers League of South Africa (TLSA) and the Non European Unity Movement (NEUM). After completing his education, Isaacs worked as teacher at Trafalgar High School in Cape Town. It was while teaching at the school that he met Achmad Cassiem. Isaacs with his knowledge of explosives tried to train some of his friends in the use of this. This attracted the attention of the security police who monitored their activities. Consequently,

Only once we agree upon our understanding of what words really mean can we debate whether a concept, represented by those words, is or not well represented significantly in specific application. Conceptual clarity and predicative/impredicative competence are the fundamental components for managing information more effectively in Health Informatics, Healthcare and Medicine applications, while promoting innovation and creativity. Medicine was always the art and science of healing. The science became more and more a mechanistic technology in Healthcare; the art was dropped altogether. But uncertainty-as-problem in the past is slowly morphing into the evaluative concept of uncertainty-as-resource. The key change performance factor is education, distinguishing building on sand from building on rock for Health Informatics! Conceptual clarity, more than instrumental obsession is necessary. In this paper, we present the main concepts of fundamental biomedical enhanced knowledge formalization for Health Informatics and Wellbeing of the future.

Introduction: Folk medicine represents part of the folk culture, when we first think about the rural culture with characteristic of the rural population in the pre-industrial period. The difference between official and folk medicine is manifested in the education, knowledge and social status of those practicing folk medicine as well as their patients. The most common ways of treating were the treatment by use of herbs, magic and treatments based on religious beliefs. So, it is of no surprise that folk medicine was the main form of treatment for the inhabitants of Bosnia and Herzegovina (B&H) in the past. In addition to many herbalists, quacks and religious officials who treated the patients with records, there were also spells, i.e. women who, by pronouncing various magic formulas, treated the patients. Each village had at least one person who practiced this type of treatment. Discussion: Numerous, original documents and records have been stored in the archives of the monastery throughout B&H, including very valuable literature in the field of medicine and pharmacy, which testifies of the very important role of Franciscans in the treatment of the population in Bosnia and Herzegovina. The most extensive health service of the Franciscans since their arrival in Bosnia in 1291 was the decadent era of Turkish rule, mostly from the 17th century until the Austro-Hungarian occupation of Bosnia and Herzegovina in 1978. In the sources of national thought, and on the basis of professional medical books, the Franciscans created recipes for the treatment of certain diseases, which they then collected in so-called „Ljekaruse” (Collections of folk recipes), and over time there was a lot of them. Most of the ljekarusa are hand-printed booklets, for some it is known the time and place of creation, and less often the author of the text. Ljekarusa is a very important source of information about our medical past. Some of them were processed and recorded, while a significant part of these manuscripts remained unknown to the general public. They included recipes for various diseases and the names they were called by the people. Professional terms were not used, nor were the illnesses and the recipes ordered in any order or systematic manner. We learn from them that our people were once treated in the absence of doctors and pharmacists. Most commonly mentioned are various herbs, animal parts, mineral substances, and some of these recipes can be even applied today. All medicines continue to be transcribed by the people and valued as good old medical receipts. Conclusion: This review article presents a book (ljekaruse) that was archived in several famous monasteries in Bosnia and Herzegovina.

Introduction: Quantifying science and scientific contribution has become one of the main tasks in evaluating researchers and their impact. How do we value research and science in Bosnia and Herzegovina (BIH)? Scientific community has mostly agreed upon that one of the best ways to value researchers is through their h-index value. However, there are many databases and services from which h-index can be retrieved. Aim: To describe different databases and services such as Google Scholar, Web of Science, Scopus and Researchgate in evaluating the researcher. An additional aim of this paper is to present “the shape” of science at the University of Sarajevo and to examine what are the best predictors of h-index. Materials and methods: We analyzed the data from 100 Google Scholar Profiles of researchers from University of Sarajevo. Results: The study showed some benefits and shortcomings of mentioned databases and services. Most researchers in the sample were from natural sciences, in particular from the field of medicine. The mean value of h-index in relation to the researcher’s gender was not statistically significant. We conclude the article with some ideas on how to improve the visibility of researchers from BIH.