ORcid: Emir Becirovic, http://orcid.org/0000-0002-4134-987X • Ammar Brkic, http://orcid.org/0000-0002-5436-3670 Esad Brkic, http://orcid.org/0000-0002-7784-328X • Amira Kusljugic, http://orcid.org/0000-0003-4537-4615 Edita Sijercic, http://orcid.org/0000-0001-5926-7226 • Hazim Tulumovic, http://orcid.org/0000-0002-0662-5576 Denis Mrsic, http://orcid.org/0000-0002-6736-9561 • Daniela Loncar, http://orcid.org/0000-0001-8186-1766

Accurate and easy to perform high voltage circuit breakers condition assessment is of crucial importance for the reliability of the overall power system. This paper presents the concept of the designed and developed embedded and handheld system for the timing measurement of the high voltage circuit breaker performed in online mode with the focus on the "first-trip" test.

One of the effective strategies for increasing reliability of the distribution networks is to perform a faster fault localization. The common techniques for accelerating the process of finding the faults are based on application of fault locators and fault passage indicators. The goal of this study is to assess the performance of both techniques, either considered separately or in combination with each other. Since the performance of both concepts depends on various stochastic variables, a comprehensive assessment methodology developed in this paper is based on the non-sequential Monte Carlo simulation.

In this paper a methodology for determining proper number and positions of fault passage indicators (FPIs) in medium voltage distribution networks with installed fault locators (FLs) is proposed and discussed. The main goal is to achieve the techno-economic balance, by obtaining maximum improvement of the reliability indices while using the minimum number of FPIs. The method is verified by Monte Carlo simulation on a real combined urban/rural distribution network in Bosnia and Herzegovina. The purpose of the simulation tests is to assess performance of the proposed methodology, as well as to discuss the results and propose potential actions required to improve their reliability for several possible scenarios: the use of FLs only, the use of FPIs only and the combined use of FLs and FPIs.

Clinical diagnosis of early melanoma (Breslow thickness less than 0.8 mm) is crucial to disease-free survival. However, it is subjective and can be exceedingly difficult, leading to missed melanomas, or unnecessary excision of benign pigmented skin lesions. An objective technique is needed to improve the diagnosis of early melanoma. We have developed a method to improve diagnosis of (thin) melanoma, based on Raman spectroscopy. In an ex vivo study in a tertiary referral (pigmented lesions) centre, high-wavenumber Raman spectra were collected from 174 freshly excised melanocytic lesions suspicious for melanoma. Measurements were performed on multiple locations within the lesions. A diagnostic model was developed and validated on an independent data set of 96 lesions. Approximately 60% of the melanomas included in this study were melanomas in situ. The invasive melanomas had an average Breslow thickness of 0.89 mm. The diagnostic model correctly classified all melanomas (including in situ) with a specificity of 43.8%, and showed a potential improvement of the number needed to treat from 6.0 to 2.7, at a sensitivity of 100%. This work signifies an important step towards accurate and objective clinical diagnosis of melanoma and in particular melanoma with Breslow thickness <0.8 mm.

1Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina 2University Clinical Center Sarajevo, Sarajevo, Bosnia and Herzegovina KeYWORdS: natriuretic peptides, brain natriuretic peptide, biomarker of myocardial infarction, Alzheimer’s disease. citAtiON: Cardiol Croat. 2018;13(11-12):435. | https://doi.org/10.15836/ccar2018.435 *AddReSS fOR cORReSpONdeNce: Edin Begic, Sarajevo School of Science and Technology, Sarajevo Medical School, Department of Pharmacology, Hrasnicka cesta 3a, 71000 Sarajevo, Bosnia and Herzegovina. / Phone: +38761303375 / E-mail: edinbegic90@gmail.com ORcid: Edin Begic, https://orcid.org/0000-0001-6842-262X • Suncica Hadzidedic, https://orcid.org/0000-0001-9026-8737 Ajla Kulaglic, https://orcid.org/0000-0003-3410-7079 • Belma Ramic-Brkic, https://orcid.org/0000-0002-8205-0137 Zijo Begic, https://orcid.org/0000-0002-1863-5755 • Mirsada Causevic, https://orcid.org/0000-0002-6099-6415

The past decade was marked, among other things, by the rapid growth of social networks. These networks collect personal data about their users - their photographs, interests, friends, locations, website visits, clicks, status updates and much more. A large number of users and a big collection of various data collected about the users make social media networks an abundant source of data that can be analyzed and used for targeted marketing, social phenomena analysis, generating different statistics and so on. In this paper we will use the potential of the tool RapidMiner in order to collect data from the social media network Twitter using the AYLIEN extension, preparing the data and applying sentiment analysis, which will give insight into the general atmosphere surrounding the actions of the current USA president Donald Trump

Post-traumatic stress disorder (PTSD) is a common and debilitating disorder. The risk of PTSD following trauma is heritable, but robust common variants have yet to be identified by genome-wide association studies (GWAS). We have collected a multi-ethnic cohort including over 30,000 PTSD cases and 170,000 controls. We first demonstrate significant genetic correlations across 60 PTSD cohorts to evaluate the comparability of these phenotypically heterogeneous studies. In this largest GWAS meta-analysis of PTSD to date we identify a total of 6 genome-wide significant loci, 4 in European and 2 in African-ancestry analyses. Follow-up analyses incorporated local ancestry and sex-specific effects, and functional studies. Along with other novel genes, a non-coding RNA (ncRNA) and a Parkinson’s Disease gene, PARK2, were associated with PTSD. Consistent with previous reports, SNP-based heritability estimates for PTSD range between 10-20%. Despite a significant shared liability between PTSD and major depressive disorder, we show evidence that some of our loci may be specific to PTSD. These results demonstrate the role of genetic variation contributing to the biology of differential risk for PTSD and the necessity of expanding GWAS beyond European ancestry.

Introduction: Malignant ovarian germ cell tumors (MOGCTs) account for 2-5% of all ovarian cancers and among them pure embryonal cell cancer is rare condition (1, 2, 3, 4). Aim: To show successful pregnancy after unilateral salpingooopherectomy and chemotherapy in a girl with embryonal carcinoma of ovary (ECO). Case report: Patient had FIGO stage III c disease. After the surgical removal of the tumour, the patient underwent six cycles of adjuvant chemotherapy with bleomycin, etoposide and cisplatin (BEP). Eight years after chemotherapy she conceived spontaneously. The patient went through regular antenatal checkups in a consultation with a gynecological oncologist. In addition to all regular examinations and controls, monthly monitoring of carbohydrate antigen (CA) 125, human epididymis protein 4 (HE 4), Roma Index is also recommended. Congenital malformation excluded at 20 weeks of gestation by level III ultrasonography. At 39th gestational week, laparotomy as well as a C-section was done and the patient was managed successfully in giving birth to a healthy female baby. Three months after delivery, the woman was recurrence free and the infant did not show any problems. At the last follow-up visit (May 5, 2018), all the tumor markers were negative, and the control MRI and ultrasound examinations did not reveal tumor recurrence or pathological lymph nodes. Conclusion Normal gonadal function and fertility are possible after fertility preservation surgery for ovarian germ cell malignancies, even with adjuvant chemotherapy.

We propose a mechanism that allows for sizeable flavour violation in quark-lepton currents, while suppressing flavour changing neutral currents in quark-quark and lepton-lepton sectors. The mechanism is applied to the recently proposed “4321” renormalizable model, which can accommodate the current experimental anomalies in B-meson decays, both in charged and neutral currents, while remaining consistent with all other indirect flavour and electroweak precision measurements and direct searches at high-pT. To support this claim, we present an exhaustive phenomenological survey of this fully calculable UV complete model and highlight the rich complementarity between indirect and direct searches.

The problem of nonperforming loans is one of the biggest problems in the banking sector. In order to mitigate this problem, it is necessary to improve the methods of credit risk assessment. One way to minimize credit risk is to improve the assessment of the creditworthiness of the applicant. In order to make a more accurate assessment, many models have been developed using classification techniques. This paper demonstrates the use of classification techniques in the form of a single classifier or in a classifier ensemble setting. We proposed bagging as a model ensemble using artificial neural networks. In the experiment conducted with the Bosnian commercial banks dataset, the proposed model showed promising results according to evaluation criteria, especially after the process of feature selection. Both individual and wrapper feature selection methods were used. Bagging with neural network (NNBag) outperforms commonly used techniques with accuracy improvement from 1% to 5%. The superiority of the proposed model (NNBag) is confirmed on two widely available datasets for assessing creditworthiness. Based on experimental results on three datasets, it is proven that NNBag is suitable for use in the assessment of the creditworthiness of applicants.