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 paper analyzes the normative-formative framework that denotes the connection between memory and identity as a crucial origin of conflicts. In addition to concerns about memory politics, historical revisionism and ethnonational identity collectivism, the paper dissolves the connection between phenomena highlighting outcomes of the peace process, transitional justice, and its ethical/moral connotations. The study argues that Western Balkan’s sociopolitical stability depends on declining conflicting and contradictory memory order within radical sociopolitical processes. The revisionist contention memorializes conflicts and wars as the fundamental concept of ethnicity/religion/nation. It overlaps with the neoliberal and neoconservative reduction of all competitive relations, in which only the stronger have the right to existence. Discarding dominant ethnopolitical narratives is essential for conflict transformation and transitional justice for all ethnoreligious communities. The Balkan historical events and conflicting memory (WW2, Yugoslav wars) caused sociopolitical dominion shaping the collective behavior of ethnic groups. The damaging ethnic/religious practice of genocide denial and honoring war crimes within people’s social lives can become a matrix for future conflicts. Placing memory politics with radical populism is a critical condition of collective identity politics in the former Yugoslavia. Scientific rationality can provide a solid path through the anomalies in the form of political ideologies.

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.

In this work, I analyze Nietzsche’s concept of the affirmation of life as one of the main concepts of his philosophy in general. To overcome the pessimism and decadence modern culture has fallen into, Nietzsche construes the concept of the affirmation of life as its main goal and imperative. Hence, for each individual, it is necessary to affirm life by achieving their own autonomy, i.e. pathos of distance. Only by achieving genuine pathos of distance, would human beings be able to overcome pessimism.

Quantification and scientific observations of the fate and transport of dissolved strontium in water systems, particularly cold climate water systems, are severely lacking. In this work, in an experiment conducted at a temperature of 6 °C, the observation of strontium precipitation along with calcium carbonate minerals from cold wastewater is investigated. ICP-MS is used for metal analyses where the distribution of the species and saturation state of minerals along with a surface complexation model was performed using the public-use USGS geochemical modeling software, PHREEQC (PH Redox Equilibrium (in C language)). Sample media were analyzed using XPS and Raman spectroscopy. The results suggest that the loss of strontium from natural waters is via the process of co-precipitation with calcite, a calcium carbonate polymorph. The observations and findings are intended to be useful to quantify the loss of 90Sr from the water, in the case of an unplanned release from a nuclear reactor-operated facility. The results indicate that the precipitation model is a robust and reliable approach to predicting and monitoring the behaviour and transport of strontium that may occur in natural environments as a result of an accidental nuclear release.

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.

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.

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.

Family VIII esterases present similarities to class C β‐lactamases, which show nucleophilic serines located at the S‐X‐X‐K motif instead of the G‐X‐S‐X‐G or G‐D‐S‐(L) motif shown by other carboxylesterase families. Here, we report the crystal structure of a novel family VIII (subfamily VIII. I) esterase (EH7; denaturing temperature, 52.6 ± 0.3 °C; pH optimum 7.0–9.0) to deepen its broad substrate range. Indeed, the analysis of the substrate specificity revealed its capacity to hydrolyse nitrocefin as a model chromogenic cephalosporin substrate (40.4 ± 11.4 units·g−1), and a large battery of 66 structurally different esters (up to 1730 min−1), including bis(2‐hydroxyethyl)‐terephthalate (241.7 ± 8.5 units·g−1) and the mycotoxin T‐2 (1220 ± 52 units·g−1). It also showed acyltransferase activity through the synthesis of benzyl 3‐oxobutanoate (40.4 ± 11.4 units·g−1) from benzyl alcohol and vinyl acetoacetate. Such a broad substrate scope is rare among family VIII esterases and lipolytic enzymes. Structural analyses of free and substrate‐bound forms of this homooctamer esterase suggest that EH7 presents a more opened and exposed S1 site having no steric hindrance for the entrance of substrates to the active site, more flexible R1, R2 and R3 regions allowing for the binding of a wide spectrum of substrates into the active site, and small residues in the conserved motif Y‐X‐X containing the catalytic Tyr enabling the entrance of large substrates. These unique structural elements in combination with docking experiments allowed us to gain valuable insights into the substrate specificity of this esterase and possible others belonging to family VIII.