Aims and objectives/purpose/research questions: This article aims to explore the link between linguistic subordination and linguistic inferiority complexes in the context of English as a second language (ESL) migrants in Australia. We address the following research questions: (a) To what extent and how do ESL migrants in Australia suffer from linguistic subordination? (b) To what extent and how is this linguistic subordination linked to linguistic inferiority complexes for ESL-migrants in Australia? (c) What are the main social implications of the link between linguistic subordination and linguistic inferiority complexes for ESL migrants? Design/methodology/approach: The study involved the participation of 150 participants who were observed using linguistic ethnography. The participants engaged in interviews and focus group discussions so that we could explore the psychological consequences of linguistic subordination that they encountered. Data and analysis: The interviews and focus group discussions were transcribed and analysed with consideration to the context, as well as the participants’ utterances and paralanguage. The study followed alternative quality criteria. Findings/conclusions: Many ESL migrants in Australia face linguistic subordination for the way they speak English. Consequently, these migrants suffer from linguistic inferiority complexes – psychological and emotional damages, which result in self-marginalisation, self-vindication, loss of sense of belonging, social withdrawal, fear, anxiety and the erosion of self-confidence. We find that there is a direct link between linguistic subordination and linguistic inferiority complexes. Originality: This article addresses a gap that exists regarding the link between linguistic subordination and the development of linguistic inferiority complexes, discusses how this has real-life consequences for ESL migrants, and explores how this may be overcome. Significance/implications: ESL migrants need support so that they can cope with their experiences of linguistic subordination, thus helping them better deal with issues related to linguistic inferiority complexes. In addition, the broader society needs greater education on how their comments and actions can affect the wellbeing of others.

In this paper, we study and present a management and orchestration framework for vehicular communications, which enables service continuity for the vehicle via an optimized application-context relocation approach. To optimize the transfer of the application-context for Connected and Automated Mobility (CAM) services, our MEC orchestrator performs prediction of resource availability in the edge infrastructure based on the Long Short-Term Memory (LSTM) model, and it makes a final decision on relocation by calculating the outcome of a Multi-Criteria Decision-Making (MCDM) algorithm, taking into account the i) resource prediction, ii) latency and bandwidth on the communication links, and iii) geographical locations of the vehicle and edge hosts in the network infrastructure. Furthermore, we have built a proof-of-concept for the orchestration framework in a real-life distributed testbed environment, to showcase the efficiency in optimizing the edge host selection and application context relocation towards achieving continuity of a service that informs vehicle about the driving conditions on the road.

This study evaluated the phytoremediation potential of eight native plant species on heavy metal polluted soils along the Spreča river valley (the northeast region of Bosnia and Herzegovina). Plants selected for screening were: ryegrass (Lolium perenne L.), common nettle (Urtica dioica L.), mugwort (Artemisia vulgaris L.), wild mint (Mentha arvensis L.), white clover (Trifolium repens L.), alfalfa (Medicago sativa L.), dwarf nettle (Urtica urens L.) and yarrow (Achillea millefolium L.). All aboveground parts of selected native plants and their associated soil samples were collected and analysed for total concentration of Ni, Cr, Cd, Pb, Zn and Cu. The bioaccumulation factor for each element was also calculated. The levels of Cr (90.9–171.1 mg/kg) and Ni (80.1–390.5 mg/kg) in the studied soil plots were generally higher than limits prescribed by European standards, indicating that the soils in the Spreča river valley are polluted by Cr and Ni. Among the eight screened plant species, no hyperaccumulators for toxic heavy metals Ni, Cr, Cd and Pb were identified. However, the concentrations of toxic heavy metals in the above-ground parts of Artemisia vulgaris L. and Trifolium repens L. were significantly higher than in the other studied plants, indicating that both plant species are useful for heavy metal removal.  

Sweet cherry (Prunus avium L.) is a temperate fruit species whose production might be highly impacted by climate change in the near future. Diversity of plant material could be an option to mitigate these climate risks by enabling producers to have new cultivars well adapted to new environmental conditions. In this study, subsets of sweet cherry collections of 19 European countries were genotyped using 14 SSR. The objectives of this study were (i) to assess genetic diversity parameters, (ii) to estimate the levels of population structure, and (iii) to identify germplasm redundancies. A total of 314 accessions, including landraces, early selections, and modern cultivars, were monitored, and 220 unique SSR genotypes were identified. All 14 loci were confirmed to be polymorphic, and a total of 137 alleles were detected with a mean of 9.8 alleles per locus. The average number of alleles (N = 9.8), PIC value (0.658), observed heterozygosity (Ho = 0.71), and expected heterozygosity (He = 0.70) were higher in this study compared to values reported so far. Four ancestral populations were detected using STRUCTURE software and confirmed by Principal Coordinate Analysis (PCoA), and two of them (K1 and K4) could be attributed to the geographical origin of the accessions. A N-J tree grouped the 220 sweet cherry accessions within three main clusters and six subgroups. Accessions belonging to the four STRUCTURE populations roughly clustered together. Clustering confirmed known genealogical data for several accessions. The large genetic diversity of the collection was demonstrated, in particular within the landrace pool, justifying the efforts made over decades for their conservation. New sources of diversity will allow producers to face challenges, such as climate change and the need to develop more sustainable production systems.

To investigate solutions of (near-)optimal control problems, we extend and exploit a notion of homogeneity recently proposed in the literature for discrete-time systems. Assuming the plant dynamics is homogeneous, we first derive a scaling property of its solutions along rays provided the sequence of inputs is suitably modified. We then consider homogeneous cost functions and reveal how the optimal value function scales along rays. This result can be used to construct (near-)optimal inputs on the whole state space by only solving the original problem on a given compact manifold of a smaller dimension. Compared to the related works of the literature, we impose no conditions on the homogeneity degrees. We demonstrate the strength of this new result by presenting a new approximate scheme for value iteration, which is one of the pillars of dynamic programming. The new algorithm provides guaranteed lower and upper estimates of the true value function at any iteration and has several appealing features in terms of reduced computation. A numerical case study is provided to illustrate the proposed algorithm.

We present an event-triggered observer design for linear time-invariant systems, where the measured output is sent to the observer only when a triggering condition is satisfied. We proceed by emulation and we first construct a continuous-time Luenberger observer. We then propose a dynamic rule to trigger transmissions, which only depends on the plant output and an auxiliary scalar state variable. The overall system is modeled as a hybrid system, for which a jump corresponds to an output transmission. We show that the proposed event-triggered observer guarantees global practical asymptotic stability for the estimation error dynamics. Moreover, under mild boundedness conditions on the plant state and its input, we prove that there exists a uniform strictly positive minimum inter-event time between any two consecutive transmissions, guaranteeing that the system does not exhibit Zeno solutions. Finally, the proposed approach is applied to a numerical case study of a lithium-ion battery.

In this study, the preservation of As(III) in model solutions and natural groundwater samples from four locations in Croatia was conducted. Model laboratory samples were spiked with As(III) and As(V), and different complexing agents. Solutions were analysed in intervals of 24, 48 h and during ten days after preparation. Model samples containing citric acid, sodium citrate, sodium oxalate and potassium sodium tartrate in combination with acetic acid, spiked with As(III)and As(V), showed good species preservation. As(III), in model samples, was preserved for 7 days with citric acid, and citric acid in combination with acetic acid, as well as with tartrate. As(III), in natural samples, was preserved for 6 to 12 days with potassium sodium tartrate, citric acid, and citric acid in combination with acetic acid and showed improvement, compared with unpreserved samples (oxidation in 3 days). The results showed that acetic acid alone was not successful in preserving As speciation. Good resolution of inorganic arsenic species was achieved using differential pulse anodic stripping voltammetry technique (DPASV). Since this technique is comparatively cheaper and more convenient to use than other available techniques it could become a method of choice for arsenic speciation in water.

Corrosion of reinforcement is one of the main problems related to the durability of reinforced concrete structures. This can cause cracks and a separation of the protective layer, as well as reducing strength and structural stiffness, which can result in numerous human casualties. Visual inspection is a standard method of assessing the condition of reinforced concrete structures whose limitations, such as time, interpretability, accessibility, etc., may affect its effectiveness. Therefore, damage determination methods based on dynamic parameters are becoming more and more prominent in the assessment of damage to reinforced concrete structures. The aim of this paper is to review the literature regarding the determination of corrosion of reinforcement by methods based on dynamic parameters, and to identify future research to develop a method that would detect corrosion problems in time through a continuous system of structural health monitoring.

Because of the benefits for all stakeholders, corporate social responsibility (CSR) is a concept that is now becoming increasingly popular and is also an integral part of doing business in the modern world. Through applying CSR, the business sector contributes to sustainable development and companies use it as their competitive advantage because it represents not only a desirable but also a necessary form of behavior in all business activities. The aim of this paper was to investigate the level of CSR policies implementation in small, medium, and large companies that are operating in Bosnia and Herzegovina. The research instrument is adapted in order to analyze the application of particular CSR policies: workplace policies, environmental policies, marketplace policies, and community policies. The study also analyzed the possession standards related to the CSR implementation practice. For the purposes of the survey, data were collected from 90 companies operating in Bosnia and Herzegovina. The collection of primary data was conducted using the online survey technique. Based on the conducted research, it has been obtained that companies in Bosnia and Herzegovina, regardless of the size of the companies, apply certain forms of CSR policies in their operations. The analysis also found that companies in Bosnia and Herzegovina attach different importance to certain CSR policies. The results related to the selection of CSR areas, the directing of financial resources in CSR, as well as the method of decision-making, and the degree of application of norms and standards, indicate that companies in Bosnia and Herzegovina do not have a strategic approach to CSR. Economic responsibility is the primary responsibility of companies in Bosnia and Herzegovina, but following current global trends, it is necessary to work to improve other dimensions and areas of CSR. The lack of significant differences in practices of CSR companies in Bosnia and Herzegovina, with regard to their size and giving the most importance to economic aspects of CSR, indicates an insufficient understanding of the modern approach to CSR from the side of the management of the companies. Government as well as the non-profit sector should support companies in implementing CSR policies to become more environmentally and socially responsible. Nevertheless, although there is no strategic approach, it can be concluded that companies in Bosnia and Herzegovina implement certain CSR policies. Based on the research results, the paper provides an overview of CSR policies in Bosnia and Herzegovina and offers some implications guidelines for managers, as well as guidelines for future CSR research.

Regression analysis is a widely used statistical technique to build a model from a set of data on two or more variables. Linear regression is based on linear correlation, and assumes that change in one variable is accompanied by a proportional change in another variable. Simple linear regression, or bivariate regression, is used for predicting the value of one variable from another variable (predictor); however, multiple linear regression, which enables us to analyse more than one predictor or variable, is more commonly used. This paper explains both simple and multiple linear regressions illustrated with an example of analysis and also discusses some common errors in presenting the results of regression, including inappropriate titles, causal language, inappropriate conclusions, and misinterpretation.

In the world economy, small and medium sized entreprises (SMEs) dominate in the number of overall enterprises (90-99% of all enterprises, depending on the definition used) and in economic contributions (GDP growth, productivity, job creation, innovation, level of competition, etc.) (Lundström i Stevenson, 2001). Because small businesses generate jobs, tax revenue, functional products, charitable donations, technological development, and social contributions to communities, their success and sustainability are important for social and economic development. In addition to the impact on public health, coronavirus disease 2019 (COVID-19) caused a major economic shock and the greatest consequences were felt by the small and medium-sized enterprises. Due to the crisis caused by the Covid-19 pandemic, countries and their companies are facing major problems of human and business capacities sustainability. Although governments have enacted private sector policies, there are constraints that have direct implications for economic growth potential. In this paper, we investigate the impact of COVID-19 on SMEs in Bosnia and Herzegovina, focusing on the impact of the Law for mitigation negative economic consequences, better known as the Crown-Law. We first examined how the companies performed this year compared to the previous year, and then we examined whether there were barriers to the implementation of the Crowv-Law and if so, whether they were internal or external. The results of this research point to the fact that the Crown-Law is not good enough. The measures are not in line with the strategic needs of SMEs, there is a time limit and the measures are short-term. The SME development strategy should be coordinated based on the mechanism of public-private dialogue. SMEs need business services to improve their competitiveness (information, consulting, training, accounting, legal services, advertising, marketing, technical and technological services, including testing standards and certification requirements abroad, product upgrades, etc.). The results of this research provide some information of the business results and expectations of SMEs in times of crisis, while offering insight into measures designed to aid recovery. The results highlight the role that the length of the crisis will play in determining its final impact, which policymakers should consider when considering the scale of interventions needed. On the other side, the Covid-19 pandemic has opened up new challenges, but also opportunities for SMEs, such as technological advances that create new products and transform almost every phase of the business from manufacturing to marketing, procurement and logistics. Currently, only a small part of the SME sector is able to recognize and seize these opportunities and meet the challenges.

In this paper we deal with decision-making processes in monitoring with the use of new technological solutions. This is an area where decision-makers in monitoring face a large number of different challenges and need appropriate specific knowledge. We give an example of a method for making complex decisions. Here we propose the application of the semantic web and knowledge bases that can provide decision-makers with a quick access to the necessary knowledge in the decision-making process. To update some of the knowledge we will use the Protégé editor, an open source platform. Our goal is not to update all the necessary knowledge needed by those who make decisions in monitoring, but only to propose a new concept to their faster fullfilment and more efficient use.