Carrier Frequency Offset (CFO) and (high) Peak-to-Average Power Ratio (PAPR) are well-known major drawbacks of the Orthogonal Frequency-Division Multiplexing (OFDM) signal. So, in many practical situations, specifically with LTE-Advanced downlink introducing carrier aggregation, estimation of PAPR and CFO-induced OFDM symbol phase deviation is of interest. However, this demands complex test equipment, such as e.g. Vector Signal Analyzer (VSA), which might not be always and everywhere available. Therefore, we applied the link abstraction principle on the residual BER that is considered to be determined just by the CFO-caused phase deviation, i.e. as if the channel is noiseless and time-dispersion-free (so that evident errors occur just due to actual CFO). Moreover, as recently it has been shown that the phase deviation is linear with the instantaneous (per-OFDM-symbol) PAPR, we develop a simple model for analytical estimating of BER-based CFO, considering the easy-to-measure BER degradation as resulting just from the according additive white Gaussian noise (AWGN) power level, which abstracts the CFO distortion. The proposed analytical model is validated by according Monte-Carlo simulations.

Introduction: Malignant breast cancer is the most common malignancy in women between 40 and 55 years of age. Dermatoglyphs are polygenetically determined properties, whose appearance and number are determined by a specific gene. They represent the skin reefs that are created by epidermis on the fingers or toes, palms and soles. Palmar dermatoglyphs have been used to estimate the hereditary basis of many diseases. Aim: The aim of the paper is to determine whether there is a statistically significant difference between the observed qualitative and quantitative parameters of both palms between the experimental and the control group. Material and Methods: A survey of the qualitative and quantitative properties of the palmar complex was carried out on a total of 100 female respondents. The first group included 50 women with breast cancer. Comparative data were used for the analysis of palmar dermatoglyphs in the second group of respondents, or 50 phenotypic healthy female subjects. The imprints of the palmar complex were taken using the printake ribbons, analyzed, and the data was then statistically processed and displayed in charts. An analysis of the number of reefs between two digital triradius was performed, followed by the determination of the axially triad position, as well as the ATD angle measurement. Results: Quantitative analysis of ATD-angle showed statistically significant difference between the left and right palms of the analyzed groups. However, the analysis of the number of reefs between triradius A-B, B-C, C-D did not show statistically significant results for both the left and right hand between the analyzed groups. Conclusion: These results indicate that the quantitative palmar parameter, ATD-angle, can play a role in identifying women with increased risk of breast cancer.

Error correction in quantum cryptography based on artificial neural networks is a new and promising solution. In this paper the security verification of this method is discussed and results of many simulations with different parameters are presented. The test scenarios assumed partially synchronized neural networks, typical for error rates in quantum cryptography. The results were also compared with scenarios based on the neural networks with random chosen weights to show the difficulty of passive attacks.

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.

Two important problems distribution companies face on a daily basis are the routing and tracking of a vehicle fleet. The former is being overcome by solving the famous vehicle routing problem (VRP), a generalization of the traveling salesman problem (TSP), and the later analyses GPS data to get information of the moving vehicles. In this paper a system which uses GPS data to track the vehicles, analyze their routes and improve input data needed for the algorithm for the vehicle routing problem is described. In a real-world scenario, implementing an VRP algorithm is not enough. Algorithms which analyze GPS data ensure that the VRP algorithm takes correct input data and that the driven routes are those that the algorithm proposed.

Distribution companies use complex software systems called WMS (Warehouse Management System). The WMS is an important part of the company’s business and it can make processes simple to keep track of. Smart WMS optimizes processes to save resources and to create a more efficient working place. This paper describes the concept of a smart WMS that is implemented in one of the largest distribution companies in Bosnia and Herzegovina. The system uses artificial intelligence and optimization algorithms to improve working process. The paper describes the complete warehouse workflow that includes stock planning, initial product placement, transfer from stock to pick zone, order picking process, transport and tracking. The anomaly detection is used in some processes to improve the whole system. The main contribution of this paper is the presentation of an efficient and in the real world used smart WMS concept.

In this paper, we present our recent studies on pilot allocation and interference coordination for heterogeneous networks (HetNets) using massive multi-input-multi-output (mMIMO) technology in time division duplex (TDD) mode, where the macro-cell base station (MBS) and overlaid small-cell base stations (SBSs) share the same time-frequency resources, and thus co-tier and cross-tier interferences occur. We investigate how to coordinate such undesirable interference for maximizing the system sum-rate under required constraints. As the first approach, we present an uplink pilot allocation scheme to enhance the downlink system sum-rate by coordinating downlink cross-tier interference to small-cell users (SUs) based on the estimated uplink channel state information. In this approach, we study the optimum pilot allocation against the trade-off between two degradation factors, i.e., uplink pilot overhead and downlink cross-tier interference. As the second approach, we present a dynamic SBS clustering scheme to mitigate dominant co-tier interference among small cells (SCs), where the SBS clustering is carried out based on potential mutual co-tier interference strength between two SCs. We also consider the SBS precoder design in each cluster to further improve the downlink sum rate of SCs under SBS power constraint. Simulation results show that our proposals are useful approaches to enhance the sum rate performance in TDD-mMIMO-HetNets.

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

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

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.

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.

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.