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.

Background Non-medical use (NMU) of prescription opioids in youth is of concern since they may continue this pattern into adulthood and become addicted or divert medications to others. Research into risk factors for NMU can help target interventions to prevent non-medical use of opioids in youth. Method The National Monitoring of Adolescent Prescription Stimulants Study (N-MAPSS) was conducted from 2008 to 2011. Participants 10-18 years of age were recruited from entertainment venues in urban, rural and suburban areas of 10 US cities. Participants completed a survey including questions on their use of prescription opioids. NMU was defined as a non-labeled route of administration or using someone else’s prescription. Information on age, gender, alcohol, marijuana and tobacco use was also collected. Summary descriptive and chi-square statistics were calculated using SAS 9.4. Results Of the 10,965 youth who provided information about past 30 day prescription opioid use, prevalence of reported opioid use was 4.8% with 3.2% reported as NMU (n=345) and 1.6% as medical use (MU) only (n=180). More males than females (55.7% vs 44.4%) reported opioid NMU (p<0.0001). Logistic regression revealed that among males (comparing NMU to MU only), current smokers were 4.4 times more likely to report opioid NMU than non-smokers (95% CI: 1.8, 10.7). Among females (comparing NMU to MU only), current smokers and alcohol users were more likely to report opioid NMU than those who had never smoked or used alcohol (OR=3.2, 95% CI:1.4, 7.0 and OR=4.1, 95% CI: 1.7, 10.4, respectively). Conclusions These results suggest that further research on gender differences in opioid NMU is needed; interventions for opioid NMU may need to be gender specific to obtain the best results.

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

Forest resources in Bosnia and Herzegovina present rich sites of various non-wood forest products. In the concept of sustainable use of forest resources and assurance the economic, environmental and social effects, non-wood forest products have great importance, especially in the strategic commitments of rural development. However, information on the potentials of non-wood forest products in Bosnia and Herzegovina is very scant, whereas institutional and procedural framework relevant to this sector is underdeveloped. In this paper value chain analysis of non-wood forest products in Bosnia and Herzegovina have been carried out in order to identify the participants in the value chain, their mutual relations, and the analysis of organizational and institutional issues that affect the economic aspects of certain stages of the value chain. Survey method was used for primary data collection in the Federation of Bosnia and Herzegovina, where the relevant information from participants in the chain of non-wood forest products has been obtained. The study included a sample of 156 collectors, who had continuity in the collection and delivery, and 18 companies engaged in purchasing, processing and distribution, which have agreed to participate in the research. For data processing and interpretation of the results classical methods of analysis, synthesis, induction, deduction and comparison, and statistical methods of trend analysis were used. Technique of SWOT analysis was used in order to identify the positive and negative factors, as the basis for defining the strategic direction of non-wood forest products sector development. The obtained results indicate on the presence of numerous problems in the value chain. The share of individual groups of non-wood forest products in the analyzed period is: 50% of berries, 40% of medicinal and aromatic plants and 10% of mushrooms. The average annual growth rate of purchased and processed amounts of medicinal and aromatic plants was 17%, 28% of forest berries, and

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