This paper aims to contribute to a better understanding of the structure and determinants of intra –industry trade specialization in agro food sector of Bosnia and Herzegovina over the transition period. The empirical analysis based on calculation of the following indicators: Grubel – Lloyd index (GL), Revealed Comparative Advantages (RCA indicator) and Relative unit value (RUV indicator). In order to show the level of intra-industry trade specialisation and to examine comparative advantages at sectoral level, as well for individual product group, are calculated Grubel – Lloyd index and RCA indicator. RUV indicator is used for analysis of two components of total intra-industry trade (TIIT); horizontal intra – industry trade (HIIT) and vertical intra- industry trade (VIIT) of agro-food products in Bosnia and Hercegovina. The analysis and calculations of above mentioned indicators are conducted using the data about international trade of agro-food products in Bosnia and Hercegovina for period of time 2008-2015, as well data at 4 – digit level, classified according to HS (Harmonised System). The final analysis in this paper is finished through applying K - means cluster analysis. K - means method was used for identificiation of different clusters of agricultural and food commodity groups related to comparative advantages, level of specialization in intra – industry trade, as well as the ratio between unit value export and unit value import. The emprical results indicated that GL index for observed period at sectoral level is lower than 50 %. The values of RCA indicator for agro-food sector of Bosnia and Herzegovina in international trade and to important trade markets indicate lack of comaparative advantages. In the structure of intra – industry trade is dominated vertical specialization.

Through the Selberg zeta approach, we reduce the exponent in the error term of the prime geodesic theorem for cocompact Kleinian groups or Bianchi groups from Sarnak's 53 to 32 . At the cost of excluding a set of finite logarithmic measure, the bound is further improved to 139 .

BackgroundsThe purpose of the study was to evaluate the clinical and magnetic resonance imaging (MRI) outcome of cervical spine arthritis in children with juvenile idiopathic arthritis (JIA), who received anti-TNFα early in the course of cervical spine arthritis.MethodsMedical charts and imaging of JIA patients with cervical spine involvement were reviewed in this retrospective study. Data, including age at disease onset, JIA type, disease activity, treatment and clinical outcome were collected. Initial and followup MRI examinations of cervical spine were performed according to the hospital protocol to evaluate the presence of inflammation and potential chronic/late changes.ResultsFifteen JIA patients with MRI proved cervical spine inflammation (11 girls, 4 boys, median age 6.3y) were included in the study: 9 had polyarthritis, 3 extended oligoarthritis, 2 persistent oligoarthritis and 1 juvenile psoriatic arthritis. All children were initially treated with high-dose steroids and methotrexate. In addition, 11 patients were treated with anti-TNFα drug within 3 months, and 3 patients within 7 months of cervical spine involvement confirmed by MRI. Mean observation time was 2.9y, mean duration of anti-TNFα treatment was 2.2y. Last MRI showed no active inflammation in 12/15 children, allowing to stop biological treatment in 3 patients, and in 3/15 significant reduction of inflammation. Mild chronic changes were found on MRI in 3 children.ConclusionsEarly treatment with anti-TNFα drugs resulted in significantly reduced inflammation or complete remission of cervical spine arthritis proved by MRI, and prevented the development of serious chronic/late changes. Repeated MRI examinations are suggested in the follow-up of JIA patients with cervical spine arthritis.

Motor age determination as a part of condition monitoring heavily employs vibration analysis. This study introduces a new method for such analysis, based on concepts of cepstrum and marginal Hilbert spectrum. This new method, named Berthil cepstrum, may be applied in general signal processing, not only when vibration signals are concerned. Classical marginal Hilbert spectrum has also been applied to the artificial motor aging data with excellent results. Furthermore, a ranking of known spectrum-based methods for determination of motor age together with the new methods introduced in this study has been made based on SVM and RELIEF attribute ranking, showing quality of the new methods.