In this research the aim was to determine differences in morphological characteristics between 11 tomato accessions from the Gene Bank of the Republic of Srpska. The experiment was conducted and analysis was performed during the 2018 and 2019 seasons. A total of 16 morphological characteristics (9 quantitative and 7 qualitative) were analyzed according to International Plant Genetic Resources Institute (IPGRI) descriptors for tomato. The results showed that polymorphism (diversity) was present in all quantitative characteristics and in 6 qualitative characteristics, while only one qualitative characteristic was monomorphic (no differences between accessions). Thereby, polymorphism was present in 93.75% of morphological characteristics. Out of a total of 9 quantitative characteristics, a highly significant difference (p 0.01) was found in all characteristics except for the 1000-seed weight since this characteristic had only one value per accession measured according to the IPGRI tomato descriptors. The accessions from the Gene Bank of the Republic of Srpska have shown high diversity in all qualitative characteristics except in plant growth type, which was indeterminate in all analyzed accessions. This research provides a new insight into the research area of diversity of tomato landraces from the Republic of Srpska, which is important for further promotion and sustainable use of germplasm not only for scientific research purposes but also for national rural farmers, who are the key to preserving traditional knowledge and skills related to the cultivation and use of traditional varieties and tomato landraces.

During the Covid-19 health emergency, telemedicine was an essential asset through which health systems strengthened their response during the critical phase of the pandemic. According to the post-pandemic economic reform plans of many countries, telemedicine will not be limited to a tool for responding to an emergency condition but it will become a structural resource that will contribute to the reorganization of Healthcare Systems and enable the transfer of part of health care from the hospital to the home-based care. However, scientific evidences have shown that health care delivered through telemedicine can be burdened by numerous ethical and legal issues. Although there is an emerging discussion on patient safety issues related to the use of telemedicine, there is a lack of reseraches specifically designed to investigate patient safety. On the contrary, it would be necessary to determine standards and specific application rules in order to ensure safety. This paper examines the telemedicine-risk profiles and proposes a position statement for clinical risk management to support continuous improvement in the safety of health care delivered through telemedicine.

The study empirically explores the relationship between OFDI and the home country’s institutional quality by employing a panel of 23 European emerging countries between 2000 and 2019. In doing so, the study employs the VECM estimation procedure. The key findings of this research indicate that the rate of adjustment to reach long-run equilibrium in European post-transition countries is lower than in European transition countries. In conclusion, there is evidence, for the period being investigated, of causality between the home country’s institutional quality and OFDI in both regions. Also, most of the transition countries are still in the process of building the institutional environment, with many institutional voids and different starting points of their internalization process. In fact, most of the countries, especially European transition countries, are in stage 2 or stage 3 of their investment development path (IDP) development, where IFDI stock still remains higher than OFDI stock.

A modernidade tem trazido mudanças efetivas na sociedade. Com o advento da globalização e o avanço tecnolígico na área de comunicação as profissões sofrerão fortes mudanças no modus operandi ao longo do tempo e as legislações não tiveram essa mudança brisca respeitando essa mesma velocidade. Dado a isso, na área do transporte de passageiros não se furtou a isso, além dos conhecidos taxis, surgiram várias empresas de transporte de pessoas por aplicativo, onde motoristas disposibilizam seus carros para o transporte terceirizando seu serviço para operadoas desses aplicativos, Dentro desse viés a legislação vigente fala de responsabilidade subsidiada, porém a ausência de uma lei específica, a falta de jurisprudência atua e atualizada deixam lacunas nas leis para a tomada de descisões sobre a relação emprego e prestação de serviços desses motoristas de aplicativos. Sobre essas grandes mudanças não coabitaram com as novas demandas surgidas no campo trabalhista gerando confusão nas decisões e até mesmo trazendo certas dificuldades aos juristas nas decisões da criação de jurisprudência.Portanto, é preciso uma revisão bibliográfica, de forma a percepção de pareceres, um novo olhar legislativo, observando as nuances das escritas a fim de traçar parâmetros interpretativos para estabelecer conceitos sobre essa relação de emprego, onde não está claro o posicionamento de ambos, nem se quer o posicionamento da ordenação jurídica a esse respeito.

The aim of this paper is to analyse the influence of foliar application of a biostimulative fertilizer on some of the elements of raspberry fruit quality of the Polka variety. The research was conducted in 2015, according to the system of controls and treatment. Slavol VVL, a foliar fertilizer with biostimulating effects was applied for treatment. A total of 12 quantitative and qualitative properties were analyzed depending on the influencing factor, namely: total sugar content, reducing sugars, invert sugars, sucrose, water content, dry matter, total acidity, vitamin C, total phenols, total flavonoids and antioxidant capacity, and fruit weight. After the completed analyzes, it can be concluded that raspberry plants treated with Slavol VVL were characterized by the highest values ​​of total acidity (2.07%), dry matter (14.86%), and vitamin C content (25.15 mg/100 g of fresh weight).

The purpose of a network intrusion detection (NID) is to detect intrusions in the network, which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently, deep learning (DL) has achieved a great success in the field of intrusion detection. However, the limited computing capabilities and storage of IoT devices hinder the actual deployment of DL-based high-complexity models. In this article, we propose a novel NID method for IoT based on the lightweight deep neural network (LNN). In the data preprocessing stage, to avoid high-dimensional raw traffic features leading to high model complexity, we use the principal component analysis (PCA) algorithm to achieve feature dimensionality reduction. Besides, our classifier uses the expansion and compression structure, the inverse residual structure, and the channel shuffle operation to achieve effective feature extraction with low computational cost. For the multiclassification task, we adopt the NID loss that acts as a better loss function to replace the standard cross-entropy loss for dealing with the problem of uneven distribution of samples. The results of experiments on two real-world NID data sets demonstrate that our method has excellent classification performance with low model complexity and small model size, and it is suitable for classifying the IoT traffic of normal and attack scenarios.

Sažetak: Autori u radu analiziraju položaj stečajnog upravitelja prema novom Zakonu o stečaju u Federaciji Bosne i Hercegovine koji je stupio na snagu 15. srpnja 2021. godine. Stečajni upravitelj kao operativno tijelo u stečajnom postupku ima središnju ulogu i od njegovog postupanja ovisi i učinkovitost stečajnog postupka. Položaj stečajnog upravitelja je specifičan jer u sebi objedinjuje dvije funkcije. On je tijelo stečajnog postupka s javnim ovlastima i zastupnik je dužnika po zakonu. Zbog tog specifičnog položaja je iznimno bitno i na koji način je reguliran njegov rad i nadzor nad njegovim postupanjem. Radi jačanja povjerenja u pravosudni sustav izbor i imenovanje stečajnih upravitelja trebao bi biti transparentan. Iako su nove zakonske odredbe unaprijedile sveukupan položaj stečajnih upravitelja, autori daju kritički osvrt na pitanja koja su ostala neregulirana i koja bi stečajni postupak učinila transparentnijim i učinkovitijim. Ključne riječi: stečaj, stečajni postupak, privremeni stečajni upravitelj, stečajni upravitelj, povjerenik

Evolving Internet applications, such as immersive multimedia and Industry 4, exhibit stringent delay, loss, and rate requirements. Realizing these requirements would be difficult without advanced dynamic traffic management solutions that leverage state-of-the-art technologies, such as Software-Defined Networking (SDN). Mininet represents a common choice for evaluating SDN solutions in a single machine. However, Mininet lacks the ability to emulate links that have multiple queues to enable differentiated service for different traffic streams. Additionally, performing a scalable emulation in Mininet would not be possible without light-weight application emulators. In this paper, we introduce two tools, namely: QLink and SPEED. QLink extends Mininet API to enable emulating links with multiple queues to differentiate between different traffic streams. SPEED represents a light-weight web traffic emulation tool that enables scalable HTTP traffic simulation in Mininet. Our performance evaluation shows that SPEED enables scalable emulation of HTTP traffic in Mininet. Additionally, we demo the benefits of using QLink to isolate three different applications (voice, web, and video) in a network bottleneck for numerous users.

Reinforcing the polymer with nanoparticles and fibers improves the mechanical, thermal and electrical properties. Owing to this, the functional parts produced by the FDM process of such materials can be used in industrial applications. However, optimal parameters’ selection is crucial to produce parts with optimal properties, such as mechanical strength. This paper focuses on the analysis of influential process parameters on the tensile strength of FDM printed parts. Two statistical methods, RSM and ANN, were applied to investigate the effect the layer thickness, printing speed, raster angle and wall thickness on the tensile strength of test specimens printed with a short carbon fiber reinforced polyamide composite. The reduced cubic model was developed by the RSM method, and the correlation between the input parameters and the output response was analyzed by ANOVA. The results show that the layer thickness and raster angle have the most significant influence on tensile strength. As for machine learning, among the nine different tested ANN topologies, the best configuration was found based on the lowest MAE and MSE test sample result. The results show that the proposed model could be a useful tool for predicting tensile strength. Its main advantage is the reduction in time needed for experiments with the LOSO (leave one subject out) k-fold cross validation scheme, offering better generalization ability, given the small set of learning examples.

Biological carbon sequestration is considered an important strategy to mitigate climate change. The energy crop Miscanthus × giganteus has great sequestration potential. The objective of this study was to determine: a) the dry matter yield and carbon content in aboveground and belowground biomass; b) the total carbon balance in the plant and soil pool. The study was conducted in continental Croatia (N 45°51′01.32″; E 16°10′35.85″) by the destructive harvesting of five-year-old Miscanthus × giganteus stands established by rhizomes (MxgR) and seedlings (MxgS) in the spring of 2021. The soil sampling was conducted in 2016 and 2022. The average amount of carbon in the aboveground biomass of MxgR and MxgS is 11.51 t/ha and 9.87 t/ha, respectively, and in the belowground biomass it is 13.18 t/ha and 14.90 t/ha, respectively. The carbon balance in the plant pool of MxgR is three times lower (1.67 t/ha) than that in the plant pool of MxgS (5.03 t/ha). The total soil carbon content increased by 8.7 t/ha under MxgR and by 14.8 t/ha under MxgS during 2016–2022. Therefore, under the studied agroecological conditions, seedlings should be preferred over rhizomes in the selection of planting material. The obtained data represent valuable input data for sequestration modeling.

Even though interest in Machine Learning Based Clinical Decision Support Systems (ML-CDSS) has been rapidly growing in recent years, most research and development is exclusively focused on secondary and tertiary care – even though effective diagnostic support in primary care could significantly improve both the circumstances, the process and the outcome of general practice. In this paper, we study the suitability of five supervised machine learning algorithms to the problem of multiclass classification with sparse Boolean features on a primary care data set, and we examine the robustness of the algorithms to incomplete data. We introduce our own classification algorithm, the Artificial Intelligence Based Diagnostic Assistant (AIDA), which is capable of incorporating both symptoms and contextual information into its diagnostic process, thus modeling the decision-making of physicians in a novel and accurate manner. Through our experimental results we show that AIDA is by far the most suitable classification algorithm for ML-CDSS applications in primary care, owing to its high accuracy and outstanding robustness to missing, sparse information.

Objectives To assess the severity of symptoms, duration of infection and viral loads of health-care workers (HCWs) who tested positive for Coronavirus disease 2019 (COVID-19) during Omicron’s prevalence, in regard to vaccination and previous infection. Methods During 2 weeks of highest rate of COVID-19 cases in Bosnia and Herzegovina, the positive nasopharyngeal swabs were analysed in 141 HCWs by reverse transcription quantitative PCR, targeting four different genes: RdRp, E, N and nsp14. Uniformed questionnaire was used to collect relevant sociodemographic and epidemiological data from HCWs divided into four groups: unvaccinated/not previously infected (group 1); unvaccinated/previously infected (group 2); vaccinated/not previously infected (group 3); and vaccinated/previously infected (group 4). Results We observed that occurrence of fever and smell or taste loss were more frequent in group 1 (86.4% and 25%) and group 3 (76.9% and 19.2%), in comparison to group 2 (64.4% and 6.7%) and group 4 (69.2% and 3.8%), ( p  = 0.023 and p  = 0.003). Although statistically not significant, group 2 (61.9%), group 3 (65.4%), and group 4 (70.8%) experienced negativization within 7 days of positive RT-qPCR test, whereas 51.2% of HCWs from group 1 tested negative later on. There is no significant difference between all four groups regarding Ct values of analysed genes. Conclusion During Omicron’s prevalence, the vaccination had less substantial effect on symptomatic disease among HCWs, while fever and loss of smell or taste were considerably less likely to occur upon reinfection. Since viral loads and negativization periods do not seem to significantly vary, irrespective of pre-existing immunity, systemic vaccination and mask-wearing should still be considered among HCWs.