Regulatorna tijela Bosne i Hercegovine koja su se pojavila u posljednjih dvadesetak godina u procesu intenzivne agencifikacije i u toj državi većinom su neistražena pojava. Stoga je cilj ovoga rada utvrditi koje su od velika broja agencija te države regulatori, kakve imaju ovlasti i neovisnost, kojem komparativnom modelu pripadaju, a posebice postoji li uopće model bosanskohercegovačkog regulatora. S tom su svrhom uspoređeni regulatorni modeli određenih država od posebne važnosti i analizirana pitanja neovisnosti i sadržaja regulatornih ovlasti. Utvrđeno je postojanje sedam regulatornih agencija na središnjoj razini vlasti te da je većina bosanskohercegovačkih regulatora dio državne uprave. Osim toga, neovisnost pojedinih regulatora jako varira – od relativno visoke u području energije i komunikacija do niske u reguliranju željezničkog prometa, pri čemu pojedini regulatori imaju različite uzore, od angloameričkih do europskokontinentalnih, te je konačan zaključak da model bosanskohercegovačkog regulatora uopće ne postoji.

The aim of this research was to examine the relationship between absolute and relative lower extremity strength and the efficiency of gymnastics vault performance. Thirty healthy, physically active male students (age: 20.84 ± 0.99 years; height: 179.46 ± 5.91 cm; body weight: 73.88 ± 6.43 kg) from the Faculty of Sports and Physical Education participated in the study. Absolute lower extremity strength was assessed by measuring the maximum load lifted (in kg) during a back squat (1RM). Relative lower extremity strength was calculated by dividing the estimated 1RM back squat by the participant's body weight (1RM/BW). Two types of vaults—the squat through (ST) and the front handspring (FHS)—were used to evaluate vault performance efficiency. Three criterion variables were applied: (d1) distance from the springboard in front of the vault, (d2) distance of landing beyond the vault, (d1 - d2) the difference between d1 and d2, and (pt) overall vault performance rating. The results showed statistically significant and strong correlations between both absolute and relative lower extremity strength and the variables measuring vault performance efficiency. The strongest correlations were observed for (d1), followed by (d2), (pt), and (d1 - d2). These findings can serve as guidelines for developing both absolute and relative lower extremity strength, which may lead to improved performance in gymnastics vaults.

Introduction The differential ratio of nonsynonymous to synonymous nucleotide substitutions (dN/dS) is a common measure of the rate of structural evolution in proteincoding genes. In addition, we recently suggested that the proportion of transposable elements in gene promoters that host functional genomic sites serves as a marker of the rate of regulatory evolution of genes. Such functional genomic regions may include transcription factor binding sites and modified histone binding loci. Methods Here, we constructed a model of the human interactome based on 600,136 documented molecular interactions and investigated the overall relationship between the number of interactions of each protein and the rate of structural and regulatory evolution of the corresponding genes. Results By evaluating a total of 4,505 human genes and 1,936 molecular pathways we found a general correlation between structural and regulatory evolution rate metrics (Spearman 0.08–0.16 and 0.25–0.37 for gene and pathway levels, respectively, p < 0.01). Further exploration revealed in the established human interactome model lack of correlation between the rate of gene regulatory evolution and the number of protein interactions on gene level, and weak negative correlation (∼0.15) on pathway level. We also found a statistically significant negative correlation between the rate of gene structural evolution and the number of protein interactions (Spearman −0.11 and −0.3 for gene and pathway levels, respectively, p < 0.01). Discussion Our result suggests stronger structural rather than regulatory conservation of genes whose protein products have multiple interaction partners.

Sa povećanom upotrebom tehnologije u nastavnom procesu, neophodno je diskutovati o etičkim pitanjima koja proizilaze iz upotrebe tehnologije. Često smo zaokupljeni prednostima i olakšicama koje upotreba tehnologije unosi, a da previdimo sve izazove koji je prate. Prvenstveno je potrebno da postanemo svjesni mogućih etičkih problema koji proizilaze iz uključenja tehnologije u nastavne procese, a sljedeći korak je da se posvetimo rješavanju i/ili izbjegavanju tih problema. Napredak tehnologije i uključenje tehnologije kao temeljnog stuba obrazovnog procesa odvija se brže nego što je razvoj pratećih aktivnosti koje bi nam omogućile da sagledamo posljedice tih dešavanja, uključujući i etičke. Pedagoška literatura nas instruira da studenti imaju posebnu korist od učenja u interakciji i kroz primjere/modele ponašanja, a mi – nastavnici – ni sami još nismo razvili sve potrebne kompetencije za suživot sa tehnologijom kao partnerom u obrazovnom procesu. Drugi problem predstavlja upućenost studenata ka modelima sa ekrana i izvorima sa interneta umjesto obrazovnih autoriteta iz vlastitog okruženja. Prednosti koje nudi upotreba tehnologije uključuju mogućnost asinhronog učenja i pristupa predavanjima i vježbama kada studentu odgovara i koliko puta odgovara; a samim tim mogućnost personaliziranog učenja. Tehnologija omogućava nastavniku potpuni uvid u aktivnosti studenata, kad i kako nešto rade. Ako govorimo o održivosti obrazovanja i obrazovanju za održivost, upravo je tehnologija ključna za efikasne metode aktivnog učenja kojima se mladi ljudi razvijaju u nosioce promjene društva. Naravno, ne smijemo previdjeti sve izazove koje upravo primjena tehnologije unosi u obrazovni proces: plagijarizam i izazov ocjene adekvatnosti izvora informacija. Studentima je dostupna ogromna količina informacija na internetu i oni ne vide šta je problem u preuzimanju tih dostupnih tekstova, a istovremeno nema dovoljno kritičkog osvrta kada je u pitanju pouzdanost izvora. Izazov je brisanje granica u komunikaciji “nastavnik – student” zbog nepoznavanja etike elektronskih komunikacija, a posebno su izazov interakcije na društvenim mrežama, uključujući i verbalno nasilje i druga neprihvatljiva ponašanja od kojih bi se iste osobe suzdržale u kontaktima lice u lice.

Leukemia represents the most prevalent malignancy in children, constituting 30% of childhood cancer cases, with acute lymphoblastic leukemia (ALL) being particularly heterogeneous. This paper explores the role of alternative splicing in leukemia, highlighting its significance in cancer development and progression. Aberrant splicing is often driven by mutations in splicing-factor genes, which can lead to the production of variant proteins that contribute to oncogenesis. The spliceosome, a complex of small nuclear RNAs and proteins, facilitates RNA splicing, a process critical for generating diverse mRNA and protein products from single genes. Mutations in splicing factors, such as U2AF1, SF3B1, SRSF2, ZRSR2, and HNRNPH1, are frequently observed across various hematological malignancies and are associated with poor prognosis and treatment resistance. This research underscores the necessity of understanding the mechanisms of RNA splicing dysregulation in order to develop targeted therapies to correct these aberrant processes, thereby improving outcomes for patients with leukemia and related disorders.

In traditional medicine, plants are widely utilized as sources of bioactive compounds for treating various diseases. This study aimed to evaluate the secondary metabolite composition, antioxidant properties, and antimicrobial effects of 38 medicinal plants commonly used in Bosnia and Herzegovina. Plants were collected from natural habitats, and dried plant material from different organs, selected based on their traditional medicinal use, was used for the extraction of bioactive compounds with 80% ethanol. The extracts were analysed for phenolic, flavonoid, and tannin content, as well as antioxidant capacity (using DPPH and FRAP assays) and antimicrobial activity. The antimicrobial activity of all 38 plants was initially screened using the disc diffusion method. For plants showing significant antimicrobial activity (inhibition zones > 20 mm), the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were determined. All analysed plants exhibited high phenolic content, with Melissa officinalis leaf extract, Filipendula vulgaris flower extract, and Rubus plicatus leaf extract containing over 300 mg GAE/g DW. According to the DPPH assay, high antioxidant capacity was observed in extracts from the leaves of Fragaria vesca, Prunus armeniaca, Rubus plicatus, and R. ideus, as well as in Rosa canina fruit and Filipendula vulgaris flower extracts, with values reaching 702.39 mg TE/g DW. Among the 38 tested plants, 16 exhibited high antimicrobial activity with inhibition zones greater than 20 mm. To ensure both the efficacy and safety of these plants, further studies on their toxicity, particularly dose-dependent toxicity, are necessary.

ABSTRACT The ability to access physiologically driven signals, such as surface temperature, photochemical reflectance index (PRI), and sun-induced chlorophyll fluorescence (SIF), through remote sensing (RS) are exciting developments for vegetation studies. Accessing this ecophysiological information requires considering processes operating at scales from the top-of-the-canopy to the photosystems, adding complexity compared to reflectance index-based approaches. To investigate the maturity and knowledge of the growing RS community in this area, COST Action CA17134 SENSECO organized a Spatial Scaling Challenge (SSC). Challenge participants were asked to retrieve four key ecophysiological variables for a field each of maize and wheat from a simulated field campaign: leaf area index (LAI), leaf chlorophyll content (Cab), maximum carboxylation rate (Vcmax,25), and non-photochemical quenching (NPQ). The simulated campaign data included hyperspectral optical, thermal and SIF imagery, together with ground sampling of the four variables. Non-parametric methods that combined multiple spectral domains and field measurements were used most often, thereby indirectly performing the top-of-the-canopy to photosystem scaling. LAI and Cab were reliably retrieved in most cases, whereas Vcmax,25 and NPQ were less accurately estimated and demanded information ancillary to RS imagery. The factors considered least by participants were the biophysical and physiological canopy vertical profiles, the spatial mismatch between RS sensors, the temporal mismatch between field sampling and RS acquisition, and measurement uncertainty. Furthermore, few participants developed NPQ maps into stress maps or provided a deeper analysis of their parameter retrievals. The SSC shows that, despite advances in statistical and physically based models, the vegetation RS community should improve how field and RS data are integrated and scaled in space and time. We expect this work will guide newcomers and support robust advances in this research field.

The future of space exploration lies in cooperative autonomous systems. Ensuring their high-integrity remains a challenge. The Robust Software Engineering group at NASA Ames Research Center has been developing the Troupe project to explore the challenges with developing and assuring high-integrity of cooperative autonomous robotic systems. In particular, Troupe aims to develop a swarm of autonomous rovers capable of mapping unknown terrain, and assure their high-integrity using the advanced V&V tools developed in the group. In this paper, we present the evolution of the design of Troupe. We focus on the lessons learned in developing and assuring the rover swarm using core Flight System (cFS). In particular, we discuss the benefits and challenges in applying model-based development to develop the rover swarm.

Bluetooth’s LE Audio, particularly broadcast audio, is at the forefront of becoming the de facto standard for immersive audio applications in public venues. Nevertheless, the security of the transmitted audio data is solely based on a passkey (Broadcast_Code) shared between all (including possibly malicious) receiver devices, leaving many envisaged applications vulnerable to impersonation as well as denial-of-service attacks. In order to address these vulnerabilities, we present BACON, a novel Bluetooth core specification-compliant mechanism for the authentication of Broadcast Isochronous Groups (BIGs). Authenticated BIGs are able to provide data authenticity for broadcast isochronous streams as well as control subevents used to disseminate control information to all receiver devices in the communication range. With BACON, we are the first to outline a mechanism that protects against attacks on broadcast audio applications while being small enough to fit on resource-constrained devices thanks to the underlying protocol’s lightweight symmetric cryptography.

Abstract Background Transactional sex, which includes exchanging sex for material goods, services, or money, is a key HIV risk factor. Risk patterns associated with transactional sex among men who have sex with men (MSM) in Sweden, where buying sexual services is illegal, have not been examined earlier. This study aims to assess whether transactional sex (both buying and selling), country of birth, and migration-related factors (described by country of origin) are associated with self-reported HIV status among MSM in Sweden. Methods We analyzed secondary data from the 2017 European MSM Internet Survey (EMIS-2017), including participants reporting to live in Sweden (n = 4443). Using multivariate logistic regression analysis, we aimed to understand factors related to involvement in transactional sex and risk of HIV acquisition. Results Among the respondents, 5.4% reported living with HIV, with 8.8% of foreign-born MSM and 4.8% of Swedish-born MSM. The multivariable analysis showed that both selling and buying sex in the past five years increased the odds of reporting a positive HIV serostatus among all participants. Stratifying by transactional sex exposure and country of birth showed an HIV prevalence increase for all groups. Foreign-born selling or buying sex ever in the last five years had the highest prevalence of all groups (ranging from 17.8 to 19.1%). Other factors associated with a positive HIV status were age, outness, sex with a woman in the past twelve months, and condom use. Conclusions The relatively high reported HIV prevalence supports the need for HIV prevention, including the scale-up of access to pre-exposure prophylaxis to foreign-born MSM. A transparent discussion about risk factors and socioeconomic structures contributing to risk behaviors, including transactional sex, is needed. Key messages • Engaging in transactional sex increases the HIV risk among MSM in Sweden, particularly among foreign-born MSM. • HIV prevention needs to address the socioeconomic factors contributing to risky behaviors, such as transactional sex.

There is little knowledge about within- and between-referee variation (WBRV) in cardiovascular responses (CVR) and locomotor game demands (LMD). Thus, the primary aim of this study was to assess the WBRV of CVR and LMD in male basketball referees during elite international games in preparation [e.g., warm-up (WU) and re-warm-up (R-WU)] and active game phases. The secondary aim was to explore quarter-by-quarter differences in CVR and LMD. Thirty-five international male referees took part in this study (age, 40.4 ± 5.4 years; body height, 184.9 ± 5.7 cm; body weight, 85.1 ± 7.5 kg; BMI, 24.0 ± 1.7 kg × m−2; fat%, 18.8 ± 4.7% and VO2max, 50.4 ± 2.2 L × kg−1 × min−1. In total, 76 games (e.g., 228 officiating cases) were analyzed during the FIBA elite men’s competition. They officiated 4.5 games on average (range 3–9 games). Each referee used the Polar Team Pro system to measure CVR [e.g., heart rate (HR), time spent in different HR intensity categories] and LMD (e.g., distance covered, maximal and average velocity, and number of accelerations). Results showed that the referees had bigger WBRV during the active and preparation (e.g., W-U than R-WU) phase when variables of higher CVR and LMD intensity were observed (e.g., time spent at higher HR zones, distance covered in higher speed zones). The WBRV, CVR, and LMD were higher during WU than R-WU. Moreover, the referees had a lower CVR and LMD in the second half. In conclusion, the referees should establish and follow consistently a game-to-game preparation routine and attempt to spread their on-court preparation time equally within the crew. A half-time preparation routine should be improved to re-establish a sufficient activation level similar to that achieved in pre-game preparation.

ABSTRACT Mathematics, along with reading and writing, is a core academic subject in the school curriculum. The development of mathematical skills is influenced by various cognitive factors, with executive functions (EF) playing a central role. EF, which encompasses working memory, inhibitory control, and cognitive flexibility, is critical for supporting complex cognitive processes required for problem-solving and mathematical reasoning. Research consistently shows that children with stronger EF tend to achieve better academic outcomes, including in mathematics. The goal of the present study was to examine the relationships between the global EF and its three core components – working memory, inhibitory control, and cognitive flexibility – and their impact on mathematics achievement. The sample for this study consisted of 180 children, aged 8–11 years (mean age: 9.6, SD: 1.0 year; 83 girls, 97 boys). EF was assessed using the Yellow-Red test, while mathematics achievement was evaluated based on teachers’ evaluations of the child’s mathematics performance. The results indicated a statistically significant effect of global EF and its three components on mathematics achievement. Given the potential malleability of EFs, we conclude with recommendations for strategies to enhance EF development at an early school age.

PurposeThe purpose of this study is to empirically examine the indirect effect of big data analytics capability (BDAC) on performance through innovativeness and risk-taking among small and medium-sized enterprises (SMEs) by considering the moderating role of absorptive capacity (ACAP).Design/methodology/approachThis study utilized a quantitative method through a survey questionnaire. The hypotheses were tested with a sample size of 202 surveys completed by SME owners. Partial least squares structural equation modeling (PLS-SEM) was administered to analyze data via the SmartPLS 4.0 software.FindingsThe analysis revealed that BDAC had an indirect effect on performance through innovativeness and risk-taking. ACAP strengthened the relationship between risk-taking and performance and also enhanced the link between BDAC and performance. Interestingly, ACAP weakened the connection between innovativeness and performance.Practical implicationsFrom a practical standpoint, our study offers valuable insights for entrepreneurs in the process of implementing BDAC. The mediating roles of innovativeness and risk-taking underscore their potential as drivers of SME performance. Also, it is crucial for managers to leverage lower-order capabilities (BDAC) to build higher-order organizational capabilities (innovativeness and risk-taking) and improve performance. Finally, managers are advised to utilize ACAP to identify external opportunities that contribute to performance.Originality/valueThe current study leverages the resource-based view (RBV) to provide new insights into the significance of innovativeness and risk-taking as key drivers to harness the benefits of BDAC for improving the performance of SMEs. Moreover, this study presents evidence of the moderating role of ACAP in the above relationships.

In robotics, ensuring that autonomous systems are comprehensible and accountable to users is essential for effective human-robot interaction. This paper introduces a novel approach that integrates user-centered design principles directly into the core of robot path planning processes. We propose a probabilistic framework for automated planning of explanations for robot navigation, where the preferences of different users regarding explanations are probabilistically modeled to tailor the stochasticity of the real-world human-robot interaction and the communication of decisions of the robot and its actions towards humans. This approach aims to enhance the transparency of robot path planning and adapt to diverse user explanation needs by anticipating the types of explanations that will satisfy individual users.

In the last ten years, social networks have appeared as main opinion-sharing and discussionenabling resources. At the same time, the development of machine learning (ML) and natural language processing (NLP) technologies has allowed for new approaches to analyzing the huge quantities of data created by users. This research uses data loading, class imbalance handling, text preprocessing and tokenization, sentiment analysis, and model assessment techniques to analyze the sentiment of the tweets. Using metrics like accuracy, precision, recall, and F1 score the study reveals that SVM and Logistic Regression are the most suitable machine-learning models for this purpose. SVM attained an accuracy of 90% for training and 77% for testing while Logistic Regression showed 83% for training and 78% for testing.