The decisions made by autonomous robots hold substantial influence over how humans perceive their behavior. One way to alleviate potential negative impressions of such decisions by humans and enhance human comprehension of them is through explaining. We introduce visual and textual explanations integrated into robot navigation, considering the surrounding environmental context. To gauge the effectiveness of our approach, we conducted a comprehensive user study, assessing user satisfaction across different forms of explanation representation. Our empirical findings reveal a notable discrepancy in user satisfaction, with significantly higher levels observed for explanations that adopt a multimodal format, as opposed to those relying solely on unimodal representations.

In the paper was analysed the influence of three different container types, used for cultivation of Pinus nigra and Pinus sylvestris seedlings, on dimensions of their anatomical (resin ducts width, resin ducts number, tracheid number, tracheid width, wood rays height) and morphological (height, root collar diameter, sturdiness coefficient) elements, and on proportion of wood, bark and pith, as well. Two-factorial ANOVA showed that container type affects a lot all investigated anatomical traits by both species, but on the other side, these species varied between each other just in terms of tracheid width and wood rays height. Based on descriptive statistics, significantly lower values of all studied anatomical elements were recorded by biodegradable compared to plastic containers. As for P. nigra seedlings, they showed the best anatomical performance in Plantagrah I, while Hiko V-120 SS was the most suitable for P. sylvestris. The highest proportion of pith and bark was recorded in biodegradable container. As for morphological parameters, such as height and root collar diameter, higher values were recorded by plastic containers.

A notable advancement in fuzzy set theory is the q-rung linear diophantine fuzzy set. The soft set theory was expanded into the hypersoft set theory. By combining both the q-rung linear diophantine fuzzy set and hypersoft set, this study describes the notion of q-rung linear diophantine fuzzy hypersoft set that can handle multi sub-attributed q-rung linear diophantine fuzzy situations in the real world. Furthermore, some of its algebraic operations such as union, intersection and complement are described in this study. In addtion, the entropy measure of the q-rung linear diophantine fuzzy hypersoft set is established as it is helpful in determining the degree of fuzziness of q-rung linear diophantine fuzzy hypersoft sets. A multi-attribute decision making algorithm based on suggested entropy is presented in this study along with a numerical example of selecting a suitable wastewater treatment technology to demonstrate the effectiveness of the proposed algorithm in real-life situations. A comparative study was undertaken that describes the validity, robustness and superiority of the proposed algorithm and notions by discussing the advantages and drawbacks of existing theories and algorithms. Overall, this study describes a novel fuzzy extension that prevails over the existing ones and contributes to the real world with a valid real-life multi-attribute decision making algorithm that can cover many real-world problems that are unable to be addressed by the existing methodology.

Stroke is a leading cause of death and disability worldwide, and early diagnosis and prompt medical intervention are thus crucial. Frequent monitoring of stroke patients is also essential to assess treatment efficacy and detect complications earlier. While computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used for stroke diagnosis, they cannot be easily used onsite, nor for frequent monitoring purposes. To meet those requirements, an electromagnetic imaging (EMI) device, which is portable, non-invasive, and non-ionizing, has been developed. It uses a headset with an antenna array that irradiates the head with a safe low-frequency EM field and captures scattered fields to map the brain using a complementary set of physics-based and data-driven algorithms, enabling quasi-real-time detection, two-dimensional localization, and classification of strokes. This study reports clinical findings from the first time the device was used on stroke patients. The clinical results on 50 patients indicate achieving an overall accuracy of 98% in classification and 80% in two-dimensional quadrant localization. With its lightweight design and potential for use by a single para-medical staff at the point of care, the device can be used in intensive care units, emergency departments, and by paramedics for onsite diagnosis.

Solid-state physics has important applications in the development of modern technologies. Although solid-state concepts, such as electric and thermal conductivity, are included in the curricula at all educational levels, even university students have many incorrect ideas about them. The incorrect ideas identified in previous studies are mainly related to macroscopic aspects of solid-state physics. With the aim of gaining a more comprehensive insight into students’ understanding of solid-state physics, we have developed a multiple-choice concept inventory on microscopic models of electric and thermal conductivity of solids (METCS). The inventory has been field-tested with a sample consisting of 233 first-year medical faculty and engineering students from the University of Rijeka (Croatia). METCS proved to have good psychometric features and it helped to uncover many incorrect ideas that have not been reported in the earlier physics education literature. The findings from this study could be a good starting point for the development of evidence-based, university-level tutorials on microscopic models of electric and thermal conductivity.

We present a new approach to high intraabdominal testis (IAT) for elongation of the testicular vessels without division. The technique entails fixation of the testis to a point one inch above and medial to the contralateral anterior superior iliac spine for 12 weeks. Subdartos orchiopexy is then done as the second stage. Both stages are laparoscopically assisted. The a new approach to high intraabdominal testis, two-stage laparoscopic traction-orchiopexy, is useful and resulted in significant elongation of the testicular vessels without atrophy. It is a safe and valid alternative to the two-stage laparoscopic Fowler–Stephens technique, which entails division of the main testicular vessels.

As the geopolitical situation changes, it is necessary to discuss how politics is structured by metaphor in the context of recent social phenomena, such as the European migrant crisis. This paper analyses the conceptual metaphors politics as war, politics as a game, politics as a trade, and politics as a theater in British and Bosnian-Herzegovinian newspapers. The goal of this study is to establish to what extent and in which situations journalists resort to figurative language to persuade the recipients to view politics in a desired way. The paper aims to reflect on the use of deliberate metaphor as a perspective-changing device by journalists striving to achieve their rhetorical goals and influence recipients’ perception of the political situation. The corpus comprises 174 British and 307 Bosnian-Herzegovinian articles collected from August 2015 to March 2016 (247,912 words). Relying on Steen et al.’s (2010) model of metaphor analysis, the paper investigates the types of metaphor in the corpus, the deliberate use of politics metaphors and their communicative function in migration discourse - discussing both the rhetorical goals of journalists and the rhetorical effects on recipients. It has been established that the analyzed set of metaphors has a divertive and persuasive function in migration discourse. Similar studies are encouraged to shed light on how deliberate metaphors related to politics may have diverging communicative functions in other types of discourse.

ABSTRACT Background This paper compares the most recent data on the incidence and prevalence of kidney replacement therapy (KRT), kidney transplantation rates, and mortality on KRT from Europe to those from the United States (US), including comparisons of treatment modalities (haemodialysis (HD), peritoneal dialysis (PD), and kidney transplantation (KTx)). Methods Data were derived from the annual reports of the European Renal Association (ERA) Registry and the United States Renal Data System (USRDS). The European data include information from national and regional renal registries providing the ERA Registry with individual patient data. Additional analyses were performed to present results for all participating European countries together. Results In 2021, the KRT incidence in the US (409.7 per million population (pmp)) was almost 3-fold higher than in Europe (144.4 pmp). Despite the substantial difference in KRT incidence, approximately the same proportion of patients initiated HD (Europe: 82%, US: 84%), PD (14%; 13%, respectively), or underwent pre-emptive KTx (4%; 3%, respectively). The KRT prevalence in the US (2436.1 pmp) was 2-fold higher than in Europe (1187.8 pmp). Within Europe, approximately half of all prevalent patients were living with a functioning graft (47%), while in the US, this was one third (32%). The number of kidney transplantations performed was almost twice as high in the US (77.0 pmp) compared to Europe (41.6 pmp). The mortality of patients receiving KRT was 1.6-fold higher in the US (157.3 per 1000 patient years) compared to Europe (98.7 per 1000 patient years). Conclusions The US had a much higher KRT incidence, prevalence, and mortality compared to Europe, and despite a higher kidney transplantation rate, a lower proportion of prevalent patients with a functioning graft.

These plans aim to strike a balance between the prevalent use of private cars and alternative modes of transport. A pivotal aspect of SUMP formulation lies in the identification of indicators, serving as tools for cities to assess their mobility systems and strategically address strengths and weaknesses. The European Commission provides a set of reliable indicators for standardized assessments, ensuring uniform data collection. Despite the importance of SUMPs, cities often lack consistent political and institutional support for their integration into urban development plans. Additionally, disparities exist in the application of methodologies for data collection in defining SUMP indicators. This paper thoroughly analyzes the indicator identification process within the SUMP creation framework. It highlights the need for continuous political backing and institutional support for SUMP projects within urban development plans. Furthermore, the paper addresses the variations in applying methodologies for data collection, emphasizing the importance of standardization. The focus is on the European Commission's indicators, providing practical insights into their application for a more uniform assessment of mobility systems. The research contributes by presenting a refined method for data collection, encompassing both basic and additional SUMP indicators. The study also introduces an in-depth analysis of modal distribution, offering a valuable resource for cities interested in formulating new SUMPs. By enhancing our understanding of these critical aspects, this paper contributes to the ongoing discourse on sustainable urban mobility and supports the development of more effective and harmonized transportation planning strategies.

In the structure of factors on which traffic safety depends, road and road elements occupy an important place in the traffic safety management system. The elements of the road create the conditions for the danger caused by other elements to turn into a traffic accident. Road elements can affect the occurrence of traffic accidents, but in particular, they can affect the "weight", i.e. the result of a traffic accident. This statement is supported by the fact that there are a number of influential elements of the road that can be direct or indirect causes of traffic accidents. The condition and quality of the roadway affect the safety of the traffic as a direct factor. The paper emphasizes the quality of the carriageway curtain and the analysis of the impact of the same on the value of the adhesion coefficient. The value of the adhesion coefficient is determined by practical measurement with a pendulum (Skid Resistance Taster) on parts of a high-risk section of the main road, in order to achieve its satisfactory quality, i.e. satisfactory grip coefficient.

Abstract The study aimed to analyse the potential of Lamiaceae essential oils, extracts, and hydrolats against bacterial biofilms. Bacterial cells Pseudomonas aeruginosa, Staphylococcus aureus, and Bacillus cereus were exposed to Thymus vulgaris L. (thyme), Salvia officinalis L. (sage), Mentha × piperita L. (mint) essential oils, extracts, and hydrolats. The result of the minimal inhibitory concentration assessment shows the highest antibacterial potential for essential oils, followed by extracts and hydrolats respectively. The anti-biofouling capacity revealed that thyme essential oil has the highest potential for biofilm prevention for all tested bacteria, reducing up to 91% of biofilm, followed by mint (88%) and sage (87%) essential oil. While the thyme extract (84%), sage extract (83%) and hydrolat (77%) we less effective. The chemical composition of thyme essential oil showed a high percentage of monoterpene hydrocarbons and oxygenated monoterpenes, among which p-cymene and thymol were the most predominant. The bacterial cell membrane integrity assessment shows a significant increase in dead cells by increasing the concentration of thyme essential oil. The findings of our research indicate that the choice of herbal preparation significantly affects the active components, thereby influencing both antibacterial and anti-biofouling capabilities. Lamiaceae essential oils show great potential for biofilm management and represent a good candidate for antibacterial application in pharmacy, medicine, and industry.

With the increasing need for efficient traffic surveillance systems, computer vision emerges as a promising technology to address various challenges in this domain. This paper aims to provide an overview of recent advancements in the application of computer vision in traffic surveillance. It commences by discussing fundamental concepts of computer vision and its role in traffic monitoring, followed by an exploration of various techniques and algorithms used in computer vision systems, including object detection, tracking, and classification. Furthermore, it investigates the integration of computer vision with other technologies such as machine learning and deep learning, emphasizing their impact on enhancing the accuracy and efficiency of traffic surveillance systems. The review explores specific applications of computer vision in traffic surveillance, such as traffic flow monitoring, anomaly detection, and license plate recognition. Additionally, it addresses challenges and limitations associated with the implementation of computer vision in real-world traffic scenarios. Synthesizing existing literature, case studies, and research findings, this review offers a comprehensive insight into the current state-of-the-art in the application of computer vision for traffic surveillance systems. The paper concludes with a discussion of future directions and potential research opportunities in this rapidly evolving field.

Recent investigations have reported the benefits of using a tyrosine kinase inhibitor, dasatinib (DA), as well as programmed death-ligand 1 (PD-L1) inhibitors in the management of several solid tumors, including breast cancer. Nevertheless, the outcome of the combination of these inhibitors on HER2-positive breast cancer is not explored yet. Herein, we investigated the impact of DA and PD-L1 inhibitor (BMS-202) combination on HER2-positive breast cancer cell lines, SKBR3 and ZR75. Our data reveal that the combination significantly inhibits cell viability of both cancer cell lines as compared to monotreatment. Moreover, the combination inhibits epithelial-mesenchymal transition (EMT) progression and reduces cancer cell invasion by restoring E-cadherin and β-catenin expressions and loss of vimentin, major biomarkers of EMT. Additionally, the combination reduces the colony formation of both cell lines in comparison with their matched control. Also, the combination considerably inhibits the angiogenesis of the chorioallantoic membrane model compared with monotreatment. Molecular pathway analysis of treated cells shows that this combination blocks HER2, AKT, β-catenin, and JNK1/2/3 activities. Our findings implicate that a combination of DA and BMS-202 could have a significant impact on the management of HER2-positive breast cancer.