Abstract This article reframes the formation of the Ottoman-Habsburg frontier after 1699 in social historical terms. By going beyond diplomatic and military factors, it identifies how the contraction of Ottoman borders affected taxation, landholding, and Muslim-Christian relations in Bosnia. The article argues that peasants in Ottoman Bosnia experienced the mounting pressures of increasing taxation, manipulation over landownership, and religiously inflected hostility, often driven by those Muslim noblemen who tried to capitalize on the destabilizing wake of several wars that the Ottoman Empire fought with the Habsburg, Venetian, and Russian states in the eighteenth century. Through these processes, by the end of the century the meaning of the reaya or raya—an Ottoman term for taxpaying “subjects” that theoretically applied to all denominations, including Muslims—had become synonymous with “Christians,” acquiring a new political significance.

Background Universally, negative or misinformed stuttering attitudes abound, which often lead to inaccurate stereotyping and/or stigmatization of people who stutter [1]. Attitudes toward any phenomenon are partly formed by what a person believes to be true, as well as how they feel and react toward that phenomenon [2]. In stuttering, attitudinal research has been particularly critical in global efforts to reduce marginalization of people who stutter. St. Louis [3] developed a standard and translatable stuttering attitude instrument, the Public Opinion Survey on Human Attributes-Stuttering (POSHA-S), which provides an impression about respondents’ overall beliefs about stuttering and Purpose: A growing body of research has addressed children’s stuttering attitudes between preschool and upper elementary school. Attitudes among preschoolers and kindergarteners have been reported to be much lower that fifth graders’ attitudes, at which time children’s attitudes seemingly converge with their parents’ attitudes. It has been suggested these observed changes align with children’s social and cognitive development and are resistant to the influence of other variables, such as their culture. The purposes of this study were (a) to extend cultural examinations of children’s stuttering attitudes in a sample of kindergarteners through sixth graders in Bosnia & Herzegovina (B&H), and (b) to compare their attitudes with their parents’ attitudes.

Machine learning, particularly in the form of deep learning (DL), has driven most of the recent fundamental developments in artificial intelligence (AI). DL is based on computational models that are, to a certain extent, bio‐inspired, as they rely on networks of connected simple computing units operating in parallel. The success of DL is supported by three factors: availability of vast amounts of data, continuous growth in computing power, and algorithmic innovations. The approaching demise of Moore's law, and the consequent expected modest improvements in computing power that can be achieved by scaling, raises the question of whether the progress will be slowed or halted due to hardware limitations. This article reviews the case for a novel beyond‐complementary metal–oxide–semiconductor (CMOS) technology—memristors—as a potential solution for the implementation of power‐efficient in‐memory computing, DL accelerators, and spiking neural networks. Central themes are the reliance on non‐von‐Neumann computing architectures and the need for developing tailored learning and inference algorithms. To argue that lessons from biology can be useful in providing directions for further progress in AI, an example‐based reservoir computing is briefly discussed. At the end, speculation is given on the “big picture” view of future neuromorphic and brain‐inspired computing systems.

Mechanisation used in forest utilisation has an impact on the occurrence of damage in stand and on forest land. The research in this work had the objective of determining damage on fir trees and other tree species during felling and processing of trees and their skidding using the forest cable-skidder. The research wasconducted in mixed beech and fir forests in the area of FMA “Glamočko”, M.U. “Hrbinje-Kujača”. The following data were gathered on damaged trees: tree type, breast height diameter, economic importance of the tree, amount of damage, location of damage, cause of damage, types of damage. Damage was recorded on a total of 305 trees, 133 trees of silver fir (Abies alba), 130 trees of European beech (Fagus sylvatica), 33 trees of European spruce (Picea abies), 8 trees of rowan/mountain-ash (Sorbusaucuparia) and one tree of sycamore (Acer pseudoplatanus). The overall damage intensity was 18.7%, but together with the old damages, the overall number of ‘wounds’ is 496. According to this, when the old damage isalso considered, then the intensity of damage amounts to 30.6%. The largest amount of damage is in the diameter sub-class ranging from 10 to 14.99 cm. According to the cause of damage, the largest amount of damage occurred during the wood extraction phase (217 trees), while during the felling phase, 88 trees or 29% were damaged. Since the wood extraction phase is divided into the winching and skidding phases, the total number of damaged trees during the winching phase amounted to 157 or 52%, while during the skidding phase, the number of damaged trees was 60 or 19%. To reduce damage to the trees during following operations in forest utilisation, it is necessary to perform more frequent training of all employees working on forest utilisation, to increase controls in execution of operations during forest utilisation, modernise machines used during forest exploitation, and in quality manner open compartments with forest road infrastructure.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by major social, communication and behavioural challenges. The cause of ASD is still unclear and it is assumed that environmental, genetic and epigenetic factors influence the risk of ASD occurrence. MicroRNAs (miRNAs) are short 21–25 nucleotide long RNA molecules which post-transcriptionally regulate gene expression. MiRNAs play an important role in central nervous system development; therefore, dysregulation of miRNAs is connected to changes in behaviour and cognition observed in many disorders including ASD. Based on previously published work, on diagnosing ASD using miRNAs, we hypothesized that miRNAs can be used as biomarkers in children with suspected developmental disorders (DD) including ASD within Bosnian-Herzegovinian (B&H) population. 14 selected miRNAs were tested on saliva of children with suspected developmental disorders including ASD. The method of choice was qRT-PCR as a relatively cheap method available in most diagnostic laboratories in low to mid-income countries (LMIC). Out of 14 analysed miRNAs, 6 were differentially expressed between typically developing children and children with some type of developmental disorder including autism spectrum disorder. Using the most optimal logistic regression, we were able to distinguish between ASD and typically developing (TD) children. We have found 5 miRNAs as potential biomarkers. From those, 3 were differentially expressed within the ASD cohort. All 5 miRNAs had shown good chi-square statistics within the logistic regression performed on all 14 analysed miRNAs. The accuracy of 5-miRNAs model training set was 90.2%, while the validation set had a 90% accuracy. This study has shown that miRNAs may be considered as biomarkers for ASD detection and may be used to identify children with ASD along with standard developmental screening tests. By combining these methods we may be able to reach a reliable and accessible diagnostic model for children with ASD in LMIC such as B&H.

This paper presents a framework capable of accurately forecasting future sales in the retail industry and classifying the product portfolio according to the expected level of forecasting reliability. The proposed framework, that would be of great use for any company operating in the retail industry, is based on Facebook's Prophet algorithm and backtesting strategy. Real-world sales forecasting benchmark data obtained experimentally in a production environment in one of the biggest retail companies in Bosnia and Herzegovina is used to evaluate the framework and demonstrate its capabilities in a real-world use case scenario.

The goal of the paper is to derive some approximate formulas for the logarithmic derivative of several zata functions of Selberg’s type for compact symmetric spaces formed as quotients of the Lie group SL4 (R). Such formulas, known in literature as Tutchmarsh-Landau style approximate formulas, are usually applied in order to obtain prime geodesic theorems in various settings of underlying locally symmetric spaces.

Abstract Introduction. Bladder cancer is the most common malignancy involving the urinary system. Recent research tends to emphasize the role of oxidative stress products in the carcinogenesis of bladder cancer. The level of oxidative stress can be measured by assessing the MDA levels. This study aimed to evaluate serum MDA levels in patients with bladder cancer, as well as to determine its potential role as a biomarker in the diagnosis of the disease and progression risk considerations. Methods. The study was designed as a cross-sectional study and included 90 patients, divided into three groups with 30 patients each: Ta, T1and T2–T4 group, based on histopathological findings after transurethral resection of the tumor. The control group included 30 healthy volunteers. MDA level was determined using the spectrophotometric method. Results. Serum MDA level in patients with bladder cancer [0.86 (0.78–1.05) μmol/L] was significantly higher than the serum MDA level in control group [0.70 (0.69–0.72) μmol/L] (p < 0.001). Serum MDA level in Ta group [0.73 (0.70–1.05) μmol/L], T1 group [0.85 (0.80–1.12) μmol/L] and in T2–T4 group [0.91 (0.84–1.04) μmol/L] was significantly higher than the serum MDA level in control group [0.70 (0.69–0.72) μmol/L] (p < 0.01). MDA level in T1 and T2–T4 group was significantly higher than the MDA level in Ta group (p < 0.01). No significant difference was observed in MDA level between T1 and T2–T4 group (p = NS). A statistically significant positive correlation was found between tumor size and serum MDA level in patients with bladder cancer (rho = 0.254 p < 0.01). Conclusions. The results of the present study suggest that MDA serum level might play a significant role as a biomarker in the diagnosis of bladder cancer, as well as in the monitoring of its progression.