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Publikacije (45101)

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David Škufca, A. Kovačič, Franja Prosenc, T. Bulc, D. Heath, E. Heath

Aida Catic, Elizabeth S. Barrie, S. Turner, A. Ferreira-Gonzalez, C. Jackson-Cook, G. Lai, Justin B. Dalton, P. Paulraj

D. Delić, T. Elbeaino, B. Lolić, G. Đurić

M. Maksić, S. Stanivuković, G. Mićić, J. Davidović-Gidas, J. Mastilović, G. Đurić

Zoran Mastilo, Nenad Božović, Dejan Mastilo

The paper addresses and evaluates the currency boards’ policy and assesses whether the economic development of Bosnia and Herzegovina is the function of currency boards, as a form of monetary policy. In this context, a hypothesis that the currency boards provides the foundation for growth and development of a transition economy is being put to the test. To test the hypothesis, the paper compares the movement of economic growth indicators (gross domestic product) among the countries of South Eastern Europe with the primary focus on Bosnia and Herzegovina. By comparing the obtained results, as well as by applying the correlation and regression analysis, by means of simple linear regression, it is proven that the currency boards do not represent an obstacle to economic growth, but is the basis for establishing the stability of the economy and the basis for sustainable growth and development able to adequately respond to shocks.

Harsha Trivedi, O. Hamdani, Brittani Thomas, J. Richard, Kunal Shah, K. Raskina, Liang Zhang, Audrey P. Madigan et al.

OBJECTIVE To present the characteristics of the AKT1E117K gene variant and a description of the clinical application in a patient with metastatic breast cancer. RESULTS 63 y/o woman with Stage IV Invasive lobular carcinoma at diagnosis was treated with Palbociclib and aromatase inhibitors (AI). At progression, tissue was sent for comprehensive genomic profiling to Foundation Medicine (FM) which revealed AKT1E17K mutation. In lieu of available clinical data within the patient's tumor type (HR+ HER2- breast cancer), extrapolated data from the Flatiron Health-FM (FH-FMI) Clinico-genomic Database (CGDB) was discussed at our Molecular Tumor Board (MTB). After multidisciplinary discussion, the consensus recommendation was to start treatment with the combination of mTOR inhibitor everolimus, and AI, exemestane. Patient tolerated treatment without major side effects. By the second clinical visit the patient's breast showed signs of improvement. PET/CT showed diminished left axillary uptake, decreased right paratracheal lymph node PET avidity, and stable bone disease consistent with a partial response. The most recent office visit in January 2021, breast exam revealed a normal-appearing skin with only faint erythema. All other skin lesions have resolved. Although, the role of AKT1 variant described here is not well defined and therapeutic significance of M-Tor inhibitors not established in metastatic breast cancers, comprehensive approach to this case unraveled new and successful therapeutic option in this patient. CONCLUSION This demonstrates that applying available Precision Medicine tools like MTB and real world data sets from patient populations with similar clinical and genomic profiles may provide more options for treatment.

By successfully solving the problem of forecasting, the processes in the work of various companies are optimized and savings are achieved. In this process, the analysis of time series data is of particular importance. Since the creation of Facebook’s Prophet, and Amazon’s DeepAR+ and CNN-QR forecasting models, algorithms have attracted a great deal of attention. The paper presents the application and comparison of the above algorithms for sales forecasting in distribution companies. A detailed comparison of the performance of algorithms over real data with different lengths of sales history was made. The results show that Prophet gives better results for items with a longer history and frequent sales, while Amazon’s algorithms show superiority for items without a long history and items that are rarely sold.

M. Andrić, J. Jaćimović, A. Jakovljević, N. Nikolic, J. Milašin

OBJECTIVES The aim of this systematic review was to critically analyze available data on gene polymorphisms in odontogenic keratocysts and ameloblastomas, including their possible relationship with clinical and histological features of these lesions. MATERIALS AND METHODS A comprehensive search of Web of Science Scopus, PubMed, Cochrane Central Register of Controlled Trials and EMBASE was conducted using relevant key terms and supplemented by a gray literature search. Quality assessment of included studies was performed using criteria from the Strengthening the Reporting of Genetic Association (STREGA) statement. RESULTS Ten studies were included in the final review. Survivin -31G/C, interleukin IL-1α -889 C/T, p53 codon 72 G/C, tumor necrosis factor TNF-α (-308G>A) and its receptor TNF-R1 (36A>G), glioma-associated oncogene homolog 1 rs2228224 and matrix metalloproteinase 2 rs243865 gene polymorphisms were reported to be associated with odontogenic keratocysts. For ameloblastomas, p53 - codon 72 G/C, X-ray repair cross-complementing protein 1 - codons 194 and 399 and matrix metalloproteinase 9 rs3918242 gene polymorphisms were identified as risk factors. It wasn't possible to establish a relationship between specific polymorphisms and clinical and histological features of investigated lesions. CONCLUSIONS Several gene polymorphisms might be considered as a risk factor for the development of these lesions. Future studies should investigate whether these polymorphisms might be used to identify patients with increased risk of recurrence or aggressive disease.

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