Key Points • Rondaptivon pegol is a first-in-class prohemostatic molecule that prolongs the half-life of both endogenous FVIII and substituted FVIII.• Rondaptivon pegol could be used to enable once-weekly substitution therapy in severe hemophilia A or as prophylaxis in nonsevere hemophilia A.

Abstract Lesser mole-rats (Nannospalax leucodon) are members of the Rodentia order’s Spalacidae family, and they are found in Northeastern Africa, the Balkans, Southeastern Europe, Central Asia, the Middle East, and Caucasia. The shape of the skull has a significant impact on the phenotypic appearance of animal heads, and although many domestic species have been studied, there is a lack of evidence on the macro-anatomical characteristics of the skeletal system in mole-rats. The current research was focused on the morphological, morphometric, and radiographic properties of lesser mole-rats skull in Bosnia and Herzegovina. The research was conducted on five lesser mole-rats from Bjelasnica Mountain, Bosnia and Herzegovina. We compared the results of the previously published studies, and we found a lot of similarities between Nannospalax leucodon in Bosnia and Herzegovina and Nannospalax ehrenbergi in North Iraq, as well as the Nannospalax nehringi from Eastern Anatolia.

We propose a certainty-equivalence scheme for adaptive control of scalar linear systems subject to additive, i.i.d. Gaussian disturbances and bounded control input constraints, without requiring prior knowledge of the bounds of the system parameters, nor the control direction. Assuming that the system is at-worst marginally stable, mean square boundedness of the closed-loop system states is proven. Lastly, numerical examples are presented to illustrate our results.

Cyber-physical systems (CPSs) are often complex and safety-critical, making it both challenging and crucial to ensure that the system’s specifications are met. Simulation-based falsification is a practical testing technique for increasing confidence in a CPS’s correctness, as it only requires that the system be simulated. Reducing the number of computationally intensive simulations needed for falsification is a key concern. In this study, we investigate Bayesian optimization (BO), a sample-efficient approach that learns a surrogate model to capture the relationship between input signal parameterization and specification evaluation. We propose two enhancements to the basic BO for improving falsification: (1) leveraging local surrogate models, and (2) utilizing the user’s prior knowledge. Additionally, we address the formulation of acquisition functions for falsification by proposing and evaluating various alternatives. Our benchmark evaluation demonstrates significant improvements when using local surrogate models in BO for falsifying challenging benchmark examples. Incorporating prior knowledge is found to be especially beneficial when the simulation budget is constrained. For some benchmark problems, the choice of acquisition function noticeably impacts the number of simulations required for successful falsification.

PurposeThe study provides the emergence and evolution of the socioemotional wealth (SEW) concept in the family business field from 2007 (the inception date) until 2021. To provide a better overview of this notion, the study unfolds a deeper understanding of this term throughout the systematic literature review (SLR).Design/methodology/approachThe study applies a systematic literature review (SLR) by analyzing the sample of 185SEW articles extracted from the Scopus database. To identify all relevant studies, the article selection process was carefully designed and divided into two phases with clear steps: identification of studies via databases and identification of studies via previous studies' reference lists. Selected studies were analyzed using the Bibliometrix R-tool, resulting in an analysis of the evolution of the trends in the SEW literature, citation analysis, and network analysis. Finally, this SLR included the content analysis of the 25 most-cited SEW articles.FindingsThe study provides a relevant and comprehensive overview facilitating empirical and theoretical research in this field and paving the way to develop new themes. The bottom line of the important findings is that the SEW concept is relatively new, alluding to a wealthy venue for future works. Other results and implications are discussed on the family business and SEW theme. Additionally, the study provides suggestions which could be used for future works in this area.Originality/valueThis is the first article related to the SEW concept in the family business. It portrays a clear picture of this field, providing relevant information on what has been done, as well as what the future possibilities are that might bode the future horizons in family businesses.

Employing Steen’s three-dimensional model of metaphor analysis (2008, 2011b), the paper examines the use of the linguistic metaphor storm clouds as a perspective-changing cognitive device in public discourse on COVID-19.

The avant-garde approach in the processing of dramatic motifs in the literary work of Miodrag Žalica once pointed to the possibility of a different and more modern expression in Bosnian drama production. Miodrag Žalica›s artistic expression shows an obvious change in the structuring of the play, as well as in the stylistic orientations, which made him the reference writer of the late modern era in Bosnia and Herzegovina. This work presents a review of the positioning of Miodrag Žalica within the framework of modern literary and theatrical aspirations. “Poetically colored meditation”, dramatic characters of the universal type and the choice of themes have provided him with a prominent place in our dramatic literature.

Amaranthaceae Juss. family encompasses many edible plants with prominent biological activity. This investigation tested the bioactive properties of ethanolic and methanolic extract of three well-known species: spinach (Spinacia oleracea L.), chard (Beta vulgaris L. subsp. vulgaris), and orache (Atriplex hortensis L.) through the determination of total phenolic and flavonoid content, antioxidant activity, and antibacterial properties. The particular goal was to evaluate the antibiofilm potential of extracts and to demarcate concentration-depending changes in the biofilm-forming category of included bacterial strains. The mass of the chard and orache methanolic extracts gained by maceration are lower in comparison to the mass of ethanolic extracts obtained by the Soxhlet method. In the case of spinach, the results are the opposite. All extracts have an antiradical activity that can be attributed to the established amounts of phenols and flavonoids. Total phenolics in dry leaves ranged from 0.09 to 0.44 mg GAE/g dw, and total flavonoids from 0.42 to 1.9 mg RTE/g dw. All investigated extracts performed inhibitory potential in terms of bacterial growth, while there was no bactericidal effect observed. Values of the minimum inhibitory concentration ranged from 125 µg/ml to 500 µg/ml. Overall results suggested orache extracts as the strongest inhibitory agents. Antibiofilm assays showed that examined extracts of spinach, chard, and orache caused changes in the biofilm-forming capacity of investigated bacterial pathogens. Fluctuations in observed biofilm-forming categories after application of extracts were concentration-dependent.

This work presents experimental results concerning the radon concentration from different building materials used for construction of houses in the municipality of Bihac. The passive technique using nuclear track detectors C-39 was used for a period for three months. The highest and lowest radon concentration was found in concrete brick buildings 280±5 Bqm-3 and in stone buildings 122±1 Bqm-3. It depends on the radioactive content of the materials, emanation coefficient and diffusion coefficient of radon in that material, porosity and density of the material. The mean annual effective dose was 3.26 mSv/y. The results obtained also give a correlation between indoor radon levels and the associated level of risk.

Aims: Determination of the biochemical properties of β-glucosidase in peppermint, which is rich in aromatic compounds. Study Design: β-glucosidase was purified from mint, and biochemical characterization of the purified enzyme was performed. Place and Duration of Study: This study was carried out in the Faculty of Arts and Sciences Biochemistry laboratory. Methodology: Enzyme purification was performed by hydrophobic interaction chromatography using a Sepharose 4B-L-tyrosine-1-naphthylamine gel. Optimum pH, temperature, and substrate specificity of the purified enzyme were determined. The effects of glucose, δ-gluconolactone and some heavy metals on the enzyme activity were investigated. Results: The enzyme was purified with 8-fold and 28% yield. The purified protein from mint was visualized at 65 kDa on SDS-PAGE. The substrate specificity of the purified β-glucosidase from mint was determined against para- and ortho-nitrophenyl β-D-glucopyranoside (p/o-NPG) substrates. The Km values were 0.4 and 0.9 mM, and the Vmax values were 102.2 EU and 96.6 EU, respectively. While the optimum pH for the purified enzyme was 6, the optimum temperature was 35°C. Effects of heavy metals Ag+2, Fe+3, Zn+2, Cu+2, and Pb+2 on the purified enzyme activity were investigated. Relative activities of heavy metals were introduced into the reaction medium as 0.75 mM samples without any known inhibitors in the environment. Fe+3 increased the enzyme activity, and Ag+2, Pb+2, Cu+2, and Zn+2 inhibited the enzyme, and their relative activities were 78, 76, 22, and 31%, respectively. Glucose and δ-gluconolactone competitively inhibited the enzyme activity when p-NPG was the substrate. Ki values of glucose and δ-gluconolactone were determined as 0.034±0.001 and 0.038±0.002 mM, respectively. Conclusion: Determination of the biochemical properties of β-glucosidase from mint, which has commercial and pharmacological importance due to the phenolic substances it contains, will contribute to studies on improving food quality.

This paper presents some results of research on possibility of using LAN (Local Area Network) cables instead of DSL (Digital Subscriber Line) cables in access networks. The aim of this paper is to answer the question whether (and under which conditions) LAN cables can be used as a replacement for DSL cables, and whether they can provide the same quality of service (QoS). CAT5e Ethernet cables and xDSL cables with diameter of 0.4 mm were used for measurements. The results were collected and compared for two different lengths of cables and for different loop conditions (good and fault loop). All results of measurements are collected on real system in operating conditions.

Due to the computing capability and memory limitations, it is difficult to apply the traditional deep learning (DL) models to the edge devices (EDs) for realizing automatic modulation classification (AMC). In this paper, a lightweight neural network for decentralized learning-based automatic modulation classification (DecentAMC) method is proposed. Specifically, group convolutional neural network (GCNN) is designed by replacing the standard convolution layer with the group convolution layer, replacing the flatten layer with the global average pooling (GAP) layer and removing part of fully connected layers. DecentAMC method is achieved by the cooperation in which multiple EDs update and upload the model weight to a central device (CD) for model aggregation to avoid the data privacy disclosure. Experimental results show that the proposed GCNN-based DecentAMC method can improve training efficiency to about 4 times and 57 times than that of GCNN-based centralized AMC (CentAMC) and CNN-based DecentAMC respectively. GCNN-based DecentAMC method can effectively reduce the communication cost and save storage of EDs when compared with CNN-based DecentAMC. Meanwhile, the time complexity and the space complexity of GCNN is significantly decreased when compared with CNN and SCNN, which is suitable to be deployed in EDs.

Six cobalt gold (CoAu) electrodes were prepared by electroless deposition using different gold-containing solutions (acidic and weakly acidic) and different Au deposition times. Characterization of CoAu electrodes was done by scanning electron microscopy with energy-dispersive X-ray spectroscopy, N2-sorption, and X-ray powder diffraction techniques. The possibility of using the prepared electrodes in environmental applications, i.e., for the electrochemical sensing of a trace amount of arsenic(iii) in weakly alkaline media was assessed. Employing the CoAu electrode (prepared by immersing Co/Cu into 1 mM HAuCl4 (pH 1.8) at 30 °C for 30 s) under optimized conditions (deposition potential −0.7 V and deposition time of 60 s), a low limit of detection of 2.16 ppb was obtained. Finally, this CoAu electrode showed activity for arsenic oxidation in the presence of Cu(ii) as a model interferent as well as in real samples. Furthermore, the use of CoAu electrode as an anode in fuel cells, namely, direct borohydride – hydrogen peroxide fuel cells was also assessed. A peak power density of 191 mW cm−2 was attained at 25 °C for DBHPFC with CoAu anode at a current density of 201 mA cm−2 and cell voltage of 0.95 V, respectively. The peak power density further increased with the increase of the operating temperature to 55 °C.