The production of raspberry (Rubus idaeus L.) as one of the most promising branches of fruit growing in Bosnia and Herzegovina could be permanently endangered due to the increasing incidence of crown gall disease caused by Agrobacterium tumefaciens. The aim of this paper was to examine the morphological changes on raspberry seedlings caused by the bacterium A. tumefaciens, as well as the size and number of tumors depending on the applied biological or chemical treatment. The strain Agrobacterium tumefaciens MTCC 431 (ATCC 15955) was used. Morphometric parameters on raspberry seedlings were measured using the ImageJ 1.48v program. A binocular magnifier at 20x magnification was used to measure the the gook diameter. The computer program R c. 3.4.0 was used for a statistical analysis of results and an analysis of main components. It was observed that the raspberries inoculated with A. tumefaciens had a lower growth potential when compared to the control line. Rhizobium rhizogenes strain K1026, as an active substance of biopesticide, had a positive effect on the growth of infected raspberry plants, reducing bacterial infection. The applied chemical agent based on copper (I) oxide demonstrated lesser impact on the intensity of A. tumefaciens infection when compared to the biological agent. In this paper, a lower intensity of changes in raspberry plants was observed when the biopesticides and fungicides were applied simultaneously, in comparison with the individual treatments.

Izvještaj sa Naučnog projekta “HISTORIJSKI POGLEDI 2022”, Centar za istraživanje moderne i savremene historije Tuzla, Tuzla, 18. i 19. novembar 2022. godine // Conference Report from Scientific project “HISTORICAL VIEWS 2022”, Center for Research of Modern and Contemporary History Tuzla, Tuzla, November 18 and 19, 2022.

Battery management systems (BMS) are becoming increasingly important in the modern age, where clean energy awareness is getting more prominent. They are responsible for controlling large battery packs in modern electric vehicles. Today, conventional solutions rely only on a wired design, which adds manufacturing cost and complexity. Recent research has considered wireless solutions for the BMS. However, it is still challenging to develop a solution that considers both the active in-vehicle and the external second-life applications. The battery passport initiative aims to keep track of the batteries, both during active and inactive use cases. There is a need to provide a secure design while considering energy and cost-efficient solutions. We aim to fill this gap by proposing a wireless solution based on near-field communication (NFC) that extends previous work and provides a unified architecture for both use cases. To provide protection against common wireless threats, an advanced security analysis is performed, as well as a system design analysis for the wake-up process that reduces the daily power consumption of the stored battery packs from milli- to microwatts.

Physics homework often boils down to solving end-of-chapter quantitative problems. For targeting different learning goals of physics education, different types of homework are needed. The aim of this research was to compare the effectiveness of simulation-based, video-based, and paper-and-pencil homework in developing an understanding about Newton’s laws and forming positive attitudes towards physics homework. 150 first-year students from the Faculty of Chemical Engineering and Technology at the University of Zagreb (Croatia) were randomly assigned to one of the three above-mentioned homework approaches. After, students had lectures and seminars on Newton’s laws, they were administered a pre-test. In the next three weeks, the students completed three homework assignments on Newton’s laws, after which they completed a post-test. For students from all three homework approaches a substantial improvement in conceptual understanding has been observed. Although the three approaches proved to be equally effective when it comes to developing understanding, the simulation-based approach was found to be superior when it comes to developing positive attitudes towards physics homework. If one controls for target knowledge, the modality of the homework assignment does not affect cognitive outcomes, but it does affect students’ attitudes towards homework. Keywords: conceptual understanding, experimental study, simulation-based homework, video-based homework

The paper extends the concept of universal motion controller (UMC), by introducing an adaptive mechanism in the original form. The adaptive universal motion controller (AUMC) allows superior position tracking in free motion by allowing better utilization of available control resources. AUMC, as well as UMC, allows concurrent position and force control with a single control structure. Thus, it can be used for trajectory tracking in free motion and also for the interaction force control. This control strategy is of essential importance for the growing field of human-robot interaction (HRI) applications.

Abstract The aim of this study was to evaluate antioxidative features using 2,2-diphenyl-1-pycrylhydrazyl free radical (DPPH•) scavenging method, bovine serum albumin (BSA)-binding properties with usage of spectrofluorimetric method, proliferative and cyto/genotoxic status by use of chromosome aberration test, and antimicrobial potential using broth microdilution method, followed by resazurin assay of benzyl-, isopropyl-, isobutyl and phenylparaben in vitro. Our results showed that all parabens had significant antiradical scavenger activity compared to p-hydroxybenzoic acid (PHBA) precursor. Higher mitotic index for benzyl-, isopropyl and isobutylparaben (250 µg/mL) in comparison with control was demonstrated. An increase in the frequency of acentric fragments in lymphocytes treated with benzylparaben and isopropylparaben (125 and 250 µg/mL), and isobutylparaben (250 µg/mL) was observed. Isobutylparaben (250 µg/mL) induced higher number of dicentric chromosomes. An increased number of minute fragments in lymphocytes exposed to benzylparaben (125 and 250 µg/mL) was found. A significant difference in the frequency of chromosome pulverization, between phenylparaben (250 µg/mL) and control, was detected. Benzylparaben (250 µg/mL) and phenylparaben (62.5 µg/mL) caused an increase in the number of apoptotic cells, while isopropylparaben (62.5, 125 and 250 µg/mL) and isobutylparaben (62.5 and 125 µg/mL) induced higher frequency of necrosis. Minimum inhibitory concentration (MIC) of tested parabens ranged 15.62–250 µg/mL for bacteria, and 125–500 µg/mL for the yeast. Minimum microbiocidal concentration ranged 31.25 to 500 µg/mL, and 250 to 1000 µg/mL in bacteria and fungi respectively. The lowest MICs for bacteria were observed for phenyl- (15.62 µg/mL) and isopropylparaben (31.25 µg/mL) against Enterococcus faecalis.

The aim of the study was to evaluate rural households from five different regions of Bosnia and Herzegovina based on predetermined economic, ecological, and sociological criteria, using assessments from five expert professionals in the field. The study employed the fuzzy multi-criteria decision-making method called TOPSIS to ensure research accuracy. The results indicated that the rural household “Radoja” received the highest rating, which could serve as a solid foundation for future rural tourism development in Bosnia and Herzegovina. Based on the obtained results, it is possible to conduct future research in other regions of the country, providing appropriate guidelines for the development of rural tourism in Bosnia and Herzegovina.

Abstract Background Shoulder dystocia is a peracute mechanical dystocia and a prepartum, usually unpredictable, life-threatening entity with significant forensic implications due to significantly poor perinatal outcome, especially permanent disability or perinatal death. Content To better objectify the graduation and to include other important clinical parameters, we believe it is appropriate to present a proposal for a complete perinatal weighted graduation of shoulder dystocia, based on several years of numerous other and our own clinical and forensic studies and thematic biobibliography. Obstetric maneuvers, neonatal outcome, and maternal outcome are three components, which are evaluated according to the severity of 0–4 proposed components. Thus, the gradation is ultimately in four degrees according to the total score: I. degreee, score 0–3: slightly shoulder dystocia with simple obstetric interventions, but without birth injuries; II. degree, score 4–7: mild shoulder dystocia resolved by external, secondary interventions and minor injuries; III. degree, score 8–10: severe shoulder dystocia with severe peripartum injuries; IV. degree, score 11–12: extremely difficult, severe shoulder dystocia with ultima ratio interventions applied and resulting extremely severe injuries with chronic disability, including perinatal death. Summary As a clinically evaluated graduation, it certainly has an applicable long-term anamnestic and prognostic component for subsequent pregnancies and access to subsequent births, as it includes all relevant components of clinical forensic objectification.

These are the lecture notes for an introductory course on black holes and some aspects of their interaction with the classical and quantum world. The focus is on phenomena of"fundamental physics"in the immediate surroundings of the black hole (classical and quantum fields, with little astrophysics). We aim more at qualitative, intuitive understanding than at quantitative rigor or detail. Accordingly, we only assume previous exposure to a conventional introduction to the elements of General Relativity and a glancing acquaintance with the Schwarzschild solution, but not more. We use many figures for illustrations and provide a set of carefully guided exercises. Topics: (1) The black hole as a tale of light and darkness. (2) The black hole that vibrates. (3) The black hole that rotates. (4) The black hole that evaporates. (A) Guided problems.

By sharing local sensor information via Vehicle-to-Vehicle (V2V) wireless communication networks, Cooperative Adaptive Cruise Control (CACC) is a technology that enables Connected and Automated Vehicles (CAVs) to drive autonomously on the highway in closely-coupled platoons. The use of CACC technologies increases safety and the traffic throughput, and decreases fuel consumption and CO2 emissions. However, CAVs heavily rely on embedded software, hardware, and communication networks that make them vulnerable to a range of cyberattacks. Cyberattacks to a particular CAV compromise the entire platoon as CACC schemes propagate corrupted data to neighboring vehicles potentially leading to traffic delays and collisions. Physics-based monitors can be used to detect the presence of False Data Injection (FDI) attacks to CAV sensors; however, unavoidable system disturbances and modelling uncertainty often translates to conservative detection results. Given enough system knowledge, adversaries are still able to launch a range of attacks that can surpass the detection scheme by hiding within the system disturbances and uncertainty -- we refer to this class of attacks as \textit{stealthy FDI attacks}. Stealthy attacks are hard to deal with as they affect the platoon dynamics without being noticed. In this manuscript, we propose a co-design methodology (built around a series convex programs) to synthesize distributed attack monitors and $H_{\infty}$ CACC controllers that minimize the joint effect of stealthy FDI attacks and system disturbances on the platoon dynamics while guaranteeing a prescribed platooning performance (in terms of tracking and string stability). Computer simulations are provided to illustrate the performance of out tools.

This paper explores the “lost language” of monuments erected in the former Yugoslavia from the 1960s to the 1980s—more precisely, the 25 national monuments captured by the lens of photographer Jan Kempenaers over the span of three years (2006−2009), and published in the monograph Spomenik [Monument] (2010). By combining the approach of cognitive linguistics and cultural studies, in particular that of Forceville (“Identifi cation”, “Metaphor”, “Agendas”), Kövecses (Culture, Context), Ortiz, and Kirn and Burghardt, this paper aims to explore the conceptual metaphors embedded in these monuments as part of a specifi c symbolic landscape, immanent to the countries of the former Yugoslavia at a historical point of their four-decades-long political, social, and cultural merger, as well as the current possibilities and limitations of the visual/multimodal decodifi cation of the memorials.

The proliferation of Internet of Things (IoT) devices has led to exponential data growth that can be harnessed for personalized services, cost savings, and environmental benefits. However, collecting and sharing this data comes with significant risks, including hacking attacks, breaches of sensitive data, and non-compliance with privacy regulations. This paper proposes a comprehensive, end-to-end secure system, MOZAIK, for privacy-preserving data collection, analysis, and sharing to address these challenges. We perform a requirements analysis from the perspectives of security, privacy, legal, and functionality, highlighting the various mechanisms employed to safeguard sensitive data throughout the entire data cycle. This includes the use of lightweight encryption, distributed computation, and anonymous communication mechanisms to reduce security and privacy risks and to protect against single points of failure. MOZAIK provides a trusted and secure platform for data sharing and processing that can enable the creation of a data market and data economy.

The integration of technology in education has become indispensable in acquiring new skills, knowledge, and competencies. This paper addresses the issue of analyzing and predicting the learning behavior of Computer Science students. Specifically, we present a dataset of compiler errors made by students during the first semester of an Introduction to Programming course where they learn the C programming language. We approach the problem of predicting the number of student errors as a missing data imputation problem, utilizing several prediction methods including Singular Value Decomposition, Polynomial Regression via Latent Tensor Reconstruction, Neural Network-based method, and Gradient Boosting. Our experimental results demonstrate high accuracy in predicting student learning behaviors over time, which can be leveraged to enhance personalized learning for individual students.

We aim to comprehensively identify typical life-spanning trajectories and critical events that impact patients’ hospital utilization and mortality. We use a unique dataset containing 44 million records of almost all inpatient stays from 2003 to 2014 in Austria to investigate disease trajectories. We develop a new, multilayer disease network approach to quantitatively analyze how cooccurrences of two or more diagnoses form and evolve over the life course of patients. Nodes represent diagnoses in age groups of ten years; each age group makes up a layer of the comorbidity multilayer network. Inter-layer links encode a significant correlation between diagnoses (p < 0.001, relative risk > 1.5), while intra-layers links encode correlations between diagnoses across different age groups. We use an unsupervised clustering algorithm for detecting typical disease trajectories as overlapping clusters in the multilayer comorbidity network. We identify critical events in a patient’s career as points where initially overlapping trajectories start to diverge towards different states. We identified 1260 distinct disease trajectories (618 for females, 642 for males) that on average contain 9 (IQR 2–6) different diagnoses that cover over up to 70 years (mean 23 years). We found 70 pairs of diverging trajectories that share some diagnoses at younger ages but develop into markedly different groups of diagnoses at older ages. The disease trajectory framework can help us to identify critical events as specific combinations of risk factors that put patients at high risk for different diagnoses decades later. Our findings enable a data-driven integration of personalized life-course perspectives into clinical decision-making.