Reading is one of the most important academic skills that children master in the early grades of elementary school. The simple view of reading postulates that it consists of decoding abilities and linguistic understanding. The present study aims to explore the development of decoding abilities in the Bosnian language in children from Grade 3 to Grade 5. We assessed the relationships between word reading and pseudoword reading as measures of decoding skills, and phonemic deletion task, rapid automatized naming (RAN) of letters, and RAN of objects as the predictors of decoding skills. The sample for this study comprised 36 children (16 girls, 20 boys). This study’s results showed a significant improvement in decoding skills from Grade 3 to Grade 5. The best predictor of word reading in Grade 5 was RAN of objects in Grade 3, followed by RAN of letters in Grade 3. On the other hand, the significant predictors of pseudoword reading in Grade 5 were RAN of objects and the phoneme deletion task in Grade 3. Understanding reading development from Grade 3 to Grade 5 is informative and can help create better reading instruction for all readers.

Grinding is one of the most widely used methods of obtaining solid particles of controled/ desired distribution systems in all branches of industry. Enlargement of this process is often based on experience and on trial and error methods that requires a large number of experiments. The development of mathematical models enabled the transfer of results to a larger scale in similar systems. The proposed researches were conducted in a laboratory scale. The modeling of the grinding process by the population balance included a description of the kinetics of dolomite grinding by kinetic parameters and the development of models that enabled the estimation of kinetic parameters on the basis of the particle size, the geometric characteristics of the mill and the process parameters. Rajamani and Herbst model is suggested for the development of selection function in a ball mill under given conditions process. The selection function was determined based on the change in the proportion of unbroken material over time for eight size intervals in four mills of different volumes, using one-size interval method. Change of unbroken material content with time is linear.The specified dependence suggests first-order breakage kinetics. The selection function was then described by the Rajamani Herbst model. Laboratory-level researches and the development of mathematical models for transferring results to a larger scale is a potential way of reducing energy consumption.

Energy-efficiency (EE) is a critical metric within wireless optimization. Power control over fading channels is considered as a promising EE-improving technique, but requires optimization of a series of fractional functional optimization problems which are hard to handle by existing optimization techniques. In this paper, we propose a novel EE power control method with unsupervised learning. Firstly, the original fractional problems are decomposed into sub-problems by Dinkelbach and quadratic transformations. Then, these sub-problems are reformulated into unconstrained forms through Lagrange dual formulation. Furthermore, unsupervised primal-dual learning method is applied to handle these unconstrained problems with strong duality. Finally, The unsupervised primal-dual learning is implemented by the deep neural network (DNN) with low computational complexity. Simulation results verify the effectiveness of the proposed approach on a number of typical wireless optimizing scenarios. It is shown that compared to conventional algorithms our method achieves better performance in cognitive radio networks, interference networks, and OFDM networks.

Background: Family medicine is defined as continuous, comprehensive medical care of the patient in the context of the family and the community. Continuous patient care includes prevention, diagnosis and treatment of acute and chronic diseases and palliative care. Caring for individuals during different diseases and stages in the life cycle, understanding the role of the family in disease and using community resources makes family medicine unique among medical disciplines. With the development of new technologies, there was a need for changes in the work and introduction of the Health Information System, in all areas of medicine, including family medicine. Objective: The objectives of this study are to analyze CHIS functions in family medicine, analyze CHIS data reports, complaints, and suggestions for improvement, and then, based on the results of these analyses, to offer recommendations for future development of the CHIS family medicine module. Methods: This article represents a qualitative, interpretative case study of the implementation of the CHIS in family medicine in Public Institution Health Centre of Sarajevo Canton conducted by a group of physicians using three primary data sources: medical experts’ analysis of the CHIS content, reports available in the CHIS about the number and type of services, analysis of written medical doctor and nurse complaints, and suggestions for improving the CHIS. Although qualitative data analysis predominated, quantitative data analysis was also employed. Results and Discussion: It is crucial that healthcare professionals who utilize HIS have the opportunity to provide feedback on the system and suggest modifications. The main results show that CHI is widely used in family medicine and that employees in this department provide purposeful suggestions to improve CHI, as well as that a good cooperation between the software company and the user exist. Experts in software should view these suggestions as useful information and adopt them to enhance the system so as to increase customer satisfaction and enhance the quality of health care. Health informatics as a separate scientific discipline began to be effective in academic institutions at the end of the 70’s by the presentation of actual accomplishments in this area in under and postgraduate education at biomedical faculties. The Central Health Information System (CHIS) in Sarajevo Canton was implemented in 2014 but was not fully integrated and was incompletely used at certain levels of health care. Conclusion: Thanks to the agility of the company rapid implementation of new software modules enabled the organizational transformation of the Sarajevo Canton health network.

Background: During the plateletpheresis procedure the number of thrombocytes in the donor’s blood significantly decreases, and the levels of the hematocrit, hemoglobin, and leukocyte diminish as well. Influence of the cell separator is one of the factors that affects the levels of HCT, Hgb and WBC. Objective: In this study, the goal was to determine the value difference of HCT, Hgb, WBC, and platelets after the platelet pheresis process between performance on Fenwal AMICUS and on COBE Spectra LRS Methods: The criteria for participation: male in the age range of 25-45. We have formed two groups: group I–180 separation were performed on 60 participants were the values of hematocrits, concentration of hemoglobin and number of leukocytes ware established before and after separation using the single-needle intermitent flow cell separation (SN-IFCS) on the Fenwal AMICUS device. Group II – presented 180 separation that were performed on 60 participants, were the values of hematocrits, concentration of hemoglobin and number of leukocytes ware established before and after separation using double-needle continuous flow cell separation (SN-IFCS) on the COBE Spectra LRS. device. To confirm the statistical differences we have used Student t-test for independent or dependent samples, as well as Mann-Whitney U test as non-parametric alternative. To compare differences between the values of four parameters (P1-P2) from two groups (using two devices–Fenwal AMICUS and Fresenius Com Tec) we have performed the ANOVA variance analyze. The possibility of errors were accepted for α<0,05, and the difference between groups as statistical relevant were accepted for p<0,05. Results Statistically significant lower values were noted for all researched parameters after separation on both devices (Fenwal AMICUS and COBE Spectra LRS). Comparing the parameters of hematocrit, leukocytes and hemoglobin’s, we found a statistical significant difference in the decrease of the parameter’s value after separation, there was a significant decrease change in using COBE Spectra LRS cell separator compared to using Fenwal AMICUS cell separator with the same procedure. For the platelets (Plt) there was no statistical significant difference (p> 0,05-α=0,05), between average level obtained using either Fenwal AMICUS or COBE Spectra LRS. Conclusion: The type of cell separator had the influence on the decrease value of the observed parameters.

This paper investigates the allocation model, the flexibility, and the scalability of fully distributed communication architectures for metering systems in smart grids. Smart metering infrastructure aggregates data from Smart Meters (SMs) and sends the collected data to the fog or the cloud data centres to be stored and analysed. The system needs to be scalable and reliable and to respond to increased demand with minimal cost. The problem is to find the optimal distribution of application data among devices, data centres or clouds. The need for support computing at marginal resources, which can be hosted within the building itself or shared within the construction of the complex, has become important over recent years. The resource allocation model is presented to optimize the cost of the resources in the communications and relevance parts of computing (the data processing cost). The fog helps cloud computing connectivity on the edge network. This paper explains how calculation/analysis can be performed closer to the data collection site to complement the analysis that would be undertaken at the data centre. Results for a range of typical scenarios are presented to show the effectiveness of the proposed method.

Optical time-domain reflectometer (OTDR) has long been and is still considered the main test tool for characterizing fiber optic links, i.e. identify and localize refractive and reflective events such as breaks, splices and connectors, and measure their insertion/return loss. Specifically, sufficient dynamic range and thus alike signal-to-noise-ratio (SNR) enable clear far-end visibility even of long fiber links. Moreover, under such conditions, the highest achievable optical bit-error-rate (BER) floor is to the large extent determined by major reflective events such as the specific trace distortion caused by connectors and splices, each with significant return loss. Realizing this has provided the opportunity window to extend the standard OTDR capabilities list by the appropriate trace postprocessing to predict the BER floor. Accordingly, considering the SNR high, and thereby the inter-symbol interference dominant error generating mechanism, we applied the time-dispersion channel model that determines the BER floor by the rms delay spread of the (fiber) channel power-delay profile. We verified the BER floor prediction in the exemplar practical test situation, by measuring the actual BER on the same fiber link, and found the obtained values well matching the OTDR based predicted ones. Furthermore, when no dominant reflective events are identified on the OTDR trace, it implies very small time dispersion allowing the OFDM symbol cyclic prefix to always prevent inter-symbol interference. This retains the CFO to solely determine the residual BER floor and vice versa, enabling indirect estimation of CFOinduced phase distortion by simple BER testing. With this regard, we abstracted CFO with the AWGN being justified by the Central Limiting Theorem to enable efficient and quite accurate short-term BER (and so CFO phase error) predictions.