This paper presents an analysis of the depolarization effect in off-body channels, based on a previously developed geometry-based channel model for polarized communications with dynamic users. The model considers Line-of-Sight propagation and components reflected from scatterers distributed on cylinders centered around the user. A mobility model for wearable antennas based on Fourier series is employed to take the effects of user’s motion into account. The focus is on scattered signal components, where the impact of a scatter’s position, its material properties, and the influence of user dynamics on signal depolarization are investigated. It is observed that the wearable antenna motion has a strong impact on the channel’s polarization characteristics, particularly for dynamic on-body placements, such as arms and legs. If the antenna motion is neglected, the error in cross-polarization ratio is greater than 23dB compared to a static approach. The antenna rotation during motion is found to be the dominant factor, while the corresponding displacement can be neglected, with the error not exceeding 1dB. This result justifies the channel model simplification proposed in this paper.

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.

Derived from mesenchymal stem cells (MSCs) under the influence of various local factors and growth hormones, osteoblasts are one of the leading components of the bone tissue. 1,25-dihydroxyvitamin D3 (calcitriol), an active form of vitamin D, plays an important role in retaining calcium and phosphate homeostasis within the body. Since vitamin D is also known to have effects on cell proliferation, our study aimed to investigate the effects of different concentrations of calcitriol on the proliferation of in vitro cultured osteoblast-like cells from the bone marrow of 90-95 days old young adult rats of both sexes. Calcitriol was applied at six (6) different concentrations (nM): 0.1, 1, 10, 20, 40 i 60. Each concentration was tested four times, counting the cells after 24 and 48 hours. After 24 and 48 hours treatment, the most effective dose of calcitriol for cell proliferation was 0.1 nM for both males and females. The greatest reduction in the frequency of OB-like cells from both sexes after treatment of 24 and 48 hours, was a 60 nM calcitriol concentration. Higher proliferative values of osteoblast-like cells were obtained in males compared to those obtained in females. Thus, the results of the current study reveal that calcitriol treatment induces the proliferation of osteoblast-like cells in a dose-dependent manner and this effect shows difference in cells from different genders.

Purpose: Determining the state of the student and his situational-motor skills, and their comparison, enables the teacher to control his work in an immediate manner, and he programmes and implements well planned and additional contents in order to realize the set goals. In order to achieve these functions, it is necessary to determine the current state of the students, as well as the state after the implemented specific contents and programs. The aim of the research was to determine the partial changes (differences) of situationalmotor abilities that were created under the influence of a four-month program of basketball, volleyball and handball in the pupils of the fifth grades of elementary school. Material: The study included N = 106 class V students, aged 10 to 11 years. The sample of respondents was divided into two subgroups, an experimental group (53 students), who conducted physical and health education classes according to the modified plan and program of sports games (basketball, volleyball and handball) for a half-year and control group (53 students) who attended regular classes from physical and health culture according to the current curriculum. 9 variables were used to assess situational-motor abilities. Descriptive statistics and discriminatory analysis were used to determine the changes (differences) in situational-motor skills. Results: The results of the research at the descriptive level showed certain differences between the groups in the final versus the initial measurements on the individual variables of situational motors. Based on the results of the discriminatory analysis, the relative contribution of each of the variables of the situational motor in the final measurement is seen. The SMKVLS (Running the ball with your hand in the slalom) and SMRBLZ (Throwing the ball against the wall for 30 seconds) variables are the biggest contributors, and the smallest SMOGCPM (Aiming the goal over the net from the basic stand) and SMOSD (Lower frontal serve). Conclusions: Physical and health culture in schools has the primary task of influencing positive transformation processes in all dimensions of students by applying appropriate content.

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.

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.

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.