Micromeria pulegium (Rochel) Benth. is an endemic species of Lamiacea family that includes frequently used plants in culinary and folk medicine. As cytotoxic potential of some species of Micromeria genus has been confirmed, this study aimed to test unknown antiproliferative and genotoxic potential of M. pulegium, endemic bh species, aqueous leaf extract in normal (human lymphocytes) and cancer (human melanoma GR-M) cells in order to protect small populations of native M. pulegium populations or promote its controlled micropropagation or cultivation. Cytokinesis-block micronucleus cytome assay was applied for human lymphocyte cultures, while trypan blue exclusion assay was used for evaluation of cytotoxicity in human GR-M melanoma cells. Results demonstrate no genotoxic effects up to concentration of 0.2 mg/ml in human lymphocyte in vitro but significant reduction of cell viability in human GR-M melanoma cell line cultures treated with 0.3 mg/ml of Micromeria extract.

Abstract Purpose Recently, authors have determined varieties in the development of corporate social responsibility (CSR) within Europe. This chapter examines similarities and differences in sustainability and related CSR developments in two contrasting European countries, namely Germany (industrialized society) and Croatia (transitional society). It has been argued that sustainable development is an industrial phenomenon common among Western European countries and the USA, often marked as post-industrial societies, and usually not observed in post-socialist and transitional societies which are confronted with an inner need for economic, political, and overall (re)structuring. Concerning differences within Europe, the concept of sustainable development in general and CSR concepts, in particular, have been described in the literature as less advanced in Eastern European countries than in Western European countries. Taking into account socio-cultural influences on the way CSR is understood and practiced, this study discusses this assumption and also addresses the question whether CSR is differently developed and not implicitly less developed. Design/methodology/approach As an illustrative example, a small empirical study was conducted to examine whether consumers in Croatia are actually less prepared for CSR, and, on the other hand, whether they just focus on different dimensions of CSR than consumers in Germany. In more detail, it examined differences in participants’ attitudes, social norms, and perceived level of control with regard to sustainable fashion consumption between German and Croatian consumers. Findings The study’s findings support the assumption of previous studies that consumers’ lack of interest in CSR and knowledge deficits in this regard are likely to be a barrier for CSR development in Croatia. Yet, it also illustrates that the CSR development in Eastern European countries should not automatically be seen as less advanced but in some parts just as different. Findings from the study on differences with regard to the importance of different sustainability dimensions, namely the social and environmental dimension of CSR, support the assumption that the way CSR is understood and practiced differs due to socio-cultural differences. Research limitations/implications As the understanding and development of CSR seem to depend on the socio-cultural context, further research is needed to examine which concepts are present in Croatia concerning sustainability and CSR. Practical implications The findings provide information on the current status of CSR development and sustainable development in two differently governed nations of the EU, namely Germany and Croatia. Resulting practical implications for CSR strategies of companies and interventions to support CSR development and sustainable consumption patterns in both countries are discussed. Originality/value Comparative CSR studies, especially within Europe, are in general rare and in particular, this study is one of a so far very limited number of studies on CSR in Eastern Europe.

A matching M in a graph G is maximal if no other matching of G has M as a proper subset. The saturation number of G is the cardinality of any smallest maximal matching in G . In this paper we investigate saturation number for several classes of square and hexagonal lattice animals.

The Internet of Medical Things (IoMT) designates the interconnection of communication-enabled medical-grade devices and their integration to wider-scale health networks in order to improve patients’ health. However, because of the critical nature of health-related systems, the IoMT still faces numerous challenges, more particularly in terms of reliability, safety, and security. In this paper, we present a comprehensive literature review of recent contributions focused on improving the IoMT through the use of formal methodologies provided by the cyber-physical systems community. We describe the practical application of the democratization of medical devices for both patients and health-care providers. We also identify unexplored research directions and potential trends to solve uncharted research problems.

Aggressive fibromatosis, also known as desmoid tumor, is a locally invasive soft tissue lesion arising from connective tissues. Reports in children less than 10 years of age is rare. We report a case of a  desmoid tumor located at the middle and lower third of the left rectus abdominis, in a 2-year-old-boy. Partial resection of the muscle segment and simultaneous reconstruction of the abdominal wall by abdominal fascia was done. The patient had an uneventful recovery. At one year of follow-up neither recurrence nor functional or aesthetic complications were seen.

We address the problem of attack detection and isolation for a class of discrete-time nonlinear systems under (potentially unbounded) sensor attacks and measurement noise. We consider the case when a subset of sensors is subject to additive false data injection attacks. Using a bank of observers, each observer leading to an Input-to-State Stable (ISS) estimation error, we propose two algorithms for detecting and isolating sensor attacks. These algorithms make use of the ISS property of the observers to check whether the trajectories of observers are "consistent" with the attack-free trajectories of the system. Simulations results are presented to illustrate the performance of the proposed algorithms.

With the rapid development of sensing, communication, and computing technologies and infrastructure, today’s manufacturing industry is marching towards a big data era and a new generation of digitalization and intelligence. The availability of big data provides us with a golden opportunity to promote smart manufacturing. Nevertheless, the deployment and popularization of big data analytics in manufacturing is still at its nascent stage. One critical challenge results from the lack of high-performance computing (HPC) capability, which is crucial for responsive and intelligent decision-making in the modern manufacturing industry. To address this challenge, this paper proposes a framework and some general guidelines for implementing big data analytics in an HPC environment. The details of the whole workflow, from the prototype to the final application, are high-lighted. A case study for intelligent 3D sensing with real-world manufacturing data is presented to demonstrate the effectiveness of the proposed framework.