The future 5G wireless infrastructure will support any-to-any connectivity between densely deployed smart objects that form the emerging paradigm known as the Internet of Everything (IoE). Compared to traditional wireless networks that enable communication between devices using a single technology, 5G networks will need to support seamless connectivity between heterogeneous wireless objects and IoE networks. To tackle the complexity and versatility of future IoE networks, 5G will need to guarantee optimal usage of both spectrum and energy resources and further support technology-agnostic connectivity between objects. One way to realize this is to combine intelligent network control with adaptive software defined air interfaces. In this paper, a flexible and compact platform is proposed for on-the-fly composition of low-power adaptive air interfaces, based on hardware/software co-processing. Compared to traditional Software Defined Radio (SDR) systems that perform computationally-intensive signal processing algorithms in software, consume significantly power and have a large form factor, the proposed platform uses modern hybrid FPGA technology combined with novel ideas such as RF Network-on-Chip (RFNoC) and partial reconfiguration. The resulting system enables composition of reconfigurable air interfaces based on hardware/software co-processing on a single chip, allowing high processing throughput, at a smaller form factor and reduced power consumption.
Cooperative learning is a modern teaching strategy in which team work and cooperation become the most important activities of the entire teaching process. The quality of interaction between students and teacher, as main participants in teaching process, is important for successful application of cooperative learning. Beside faster and longer lasting knowledge acquiring, cooperative learning develops critical and creative thinking, communication and social skills and it strengthens self-confidence. Modern methods of teaching mathematics focus on didactical principle of conscious activity above other principles. This means students are major, active factors of mathematics teaching, and not only they participate in the process of teaching, but they also participate in the selection of methods of teaching. This enhances their motivation for work during classes. This means, what is learned through cooperative learning is better used in new situations, knowledge transfer is greater and new knowledge is acquired easier and lasts longer. Specific and abstract contents of mathematics lead to different ways of applying cooperative learning in this subject. That is why we chose this subject, i.e. to explore and point out the possibilities and ways of applying cooperative learning in mathematics.
Introduction: The purpose of this study was to validate Bosnian translation of disease specific quality of life measure MSQoL-54 which is widely used in practice. Material and Methods: Previously translated and culturally adopted MSQoL-54 questionnaire used in this study has been provided and licensed by Optum Inc. The questionnaire was validated in 62 MS patients seen at Neurology clinic at University Clinical Center Sarajevo, during April 2016 until May 2016. Internal reliabilities of Bosnian version MSQoL-54 were assessed for multiple item scales by using Cronbach’s alpha coefficient. Clinical validity was assessed comparing means of the two summary MSQoL-54 scores by the EDSS score. Pearson’s (r) correlation coefficient was used to investigate the relationship between the composite scores and the main clinical and demographic variables. Results: Patients’ participation was satisfactory and all scales fulfilled the usual psychometric standards. Highly significant inverse relationship was found between both composite scores and clinical characteristics of the disease and the EDSS. The lowest internal consistency reliability is found on social function scale (0.743), overall quality of life (0.782) and pain (0.833). The highest internal consistency reliability is found on role limitations due to physical problems (0.959), physical health (0.962) and role limitations due to emotional problems (0.966). The mean value of MSQoL-54 PHC (Physical Health Composite) and MHC (Mental Health Composite) were 49.82±18.90 (36.05-61.38) 51.84±22.22 (34.93-70.20) respectively. Our study has shown that the Bosnian version of MSQoL-54 is easy to administer and well accepted by patients and may be useful as clinical outcome measures in patients with MS.
<p style="text-align: justify;">In the paper stress analysis of rotary kiln support rollers is conducted. Stress state in the support rollers is caused by temperature gradient, shrinkfit connection between shaft and roller and by the contact with kiln ring. The stress analysis is done analytically and numerically, and the results obtained are compared.</p>
This paper presents and analyzes the applicability of three linearization techniques used for solving multi-objective linear fractional programming problems using the goal programming method. The three linearization techniques are: (1) Taylor’s polyno-mial linearization approximation, (2) the method of variable change, and (3) a modification of the method of variable change proposed in [20]. All three linearization techniques are presented and analyzed in two variants: (a) using the optimal value of the objective functions as the decision makers’ aspirations, and (b) the decision makers’ aspirations are given by the decision makers. As the criteria for the analysis we use the efficiency of the obtained solutions and the difficulties the analyst comes upon in preparing the linearization models. To analyze the applicability of the linearization techniques incorporated in the linear goal programming method we use an example of a financial structure optimization problem.
s from the Food Allergy and Anaphylaxis Meeting 2016 Rome, Italy. 13–15 October 2016 © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ORAL ABSTRACT SESSION 1: Food allergens • Anaphylaxis OP01 Fatal anaphylaxis is decreasing in France: analysis of national data, 1979–2011 Guillaume Pouessel, Claire Claverie, Julien Labreuche, Jean‐Marie Renaudin, Aimée Dorkenoo, Mireille Eb, Anne Moneret‐Vautrin, Antoine Deschildre, Stephane Leteurtre Department of Pediatrics, Children’s Hospital, Roubaix, France; Division of Pulmonology and Allergology, Department of Pediatrics, Faculty of Medicine and Children’s Hospital, Lille, France; Allergy Vigilance Network, Vandoeuvre les Nancy, France; Université Lille 2, CHU Lille, EA 2694 ‐ Santé Publique: épidémiologie et qualité des soins, Lille, France; Biostatistic Unit, Maison Régionale de la Recherche Clinique, CHRU Lille, Lille, France; Department of Allergology, Emile Durkheim Hospital, Epi‐ nal, France; Centre d’Epidémiologie sur les Causes Médicales de Décès INSERM, CHU de Bicêtre, Le Kremlin‐Bicêtre, France Correspondence: Guillaume Pouessel ‐ guillaume.pouessel@gmail.com Clinical and Translational Allergy 2017, 7(Suppl 1):OP0
The paper analyzes the memory usage and consumption of processor time when the user interacts with the application. We have analyzed the workload of the processor depending on the number of loaded data for different technologies of transfer (AMF, JSON or XML) from the server to the client. Apart from that, we have analyzed the occupation of memory depending on the number of loaded data and instantiated objects, the percentage of availability of memory that the class instances occupy. The change in the memory occupation is displayed graphically and numerically
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