Clear cell renal cell carcinoma (ccRCC), the most common histologic subtype of RCCs, demonstrates a wide spectrum of morphologic features (i.e., low-grade spindle cell, syncytial giant cells, and mucin-producing cells). However, papillary growth pattern in ccRCCs is rather a rare finding, which can present challenges in differential diagnostic work up. The aim of this study was to investigate ccRCCs with predominant papillary features from morphologic, immunohistochemical and molecular genetic perspectives. 23 clear cell renal cell carcinomas with papillary architecture were selected. Tumors were evaluated morphologically, immunohistochemically, and molecularly by next-generation sequencing (NGS). The diagnosis of MiT family translocation RCC was excluded by TFE3 immunohistochemistry. Mean age of patients was 65.2 years (range 42-81 years), and 19/23 were male. Tumor size ranged from 1.6 to 12.8 cm (median 6.5 cm). At a median follow-up of 2.5 years (range 1.5-9 years), 2 patients (8.7%) died of disease, 2 developed metastasis. Areas of papillary pattern accounted for approximately 40-100% of the tumor. CK7 was negative in non-papillary areas in majority of cases (20/23, 87%), and was only focally positive in 3/23 cases (13%). In papillary areas, AMACR was positive/focally positive in 17/23 (73.9%) cases and in the non-papillary areas it was positive/focally positive in 22/23 (95.6%) cases. CAIX was mainly negative in both non-papillary and papillary areas (15/23 [65%] and 16/23 [69.5%], respectively). Molecular analysis of 15 analyzable cases revealed the most frequently mutated gene to be VHL (in 9 cases), followed by PRBM1 (in 2 cases) and 29 other different mutations in various genes. Papillary growth pattern in ccRCC is not an uncommon situation. Papillary RCC with clear cells and MiT family (TFE3) translocation RCCs are the major differential diagnostic considerations in such scenarios. Our NGS molecular analysis supported classifying such tumors as a morphologic variant of ccRCC.

The blind additive white Gaussian noise level estimation is an important and a challenging area of digital image processing with numerous applications including image denoising and image segmentation. In this paper, a novel block-based noise level estimation algorithm is proposed. The algorithm relies on the artificial neural network to perform a complex image patch analysis in the singular value decomposition (SVD) domain and to evaluate noise level estimates. The algorithm exhibits the capacity to adjust the effective singular value tail length with respect to the observed noise levels. The results of comparative analysis show that the proposed ANN-based algorithm outperforms the alternative single stage block-based noise level estimating algorithm in the SVD domain in terms of mean square error (MSE) and average error for all considered choices of block size. The most significant improvements in MSE levels are obtained at low noise levels. For some test images, such as “Car” and “Girlface”, at σ = 1 , these improvements can be as high as 99% and 98.5%, respectively. In addition, the proposed algorithm eliminates the error-prone manual parameter fine-tuning and automates the entire noise level estimation process.

Aim To investigate a correlation between resistive index (RI) level changes following extracorporeal shock wave lithotripsy (ESWL) in treated and non-treated kidneys depending on the ESWL treatment intensity. The study was conducted on 60 subjects, which were divided in two groups according to age and treatment protocol. Results In the group of patients younger than 55 years of age there was a significant increase in mean RI values, on the first (p=0.001) and second day after the treatment (p=0.007). In the group older than 55 years of age, the resulting increase in mean RI levels was also significant on the first (p=0.003) and second (p=0.011) day following the treatment. The RI values in the non-treated kidney on the first day after the treatment grew significantly (p=0.033). In the group older than 55, RI values in the non-treated kidney grew significantly on the first day after the treatment (p=0.044). In the group who received 2000 SWs, RI levels grew significantly (p=0.044) as well as in the group who received 4000 SWs during the treatment, where the significance was more pronounced (p=0.007). Conclusion There is a correlation between RI changes and the degree and localization of changes in vascular elements of the kidney. Post-ESWL treatment changes are existent and reversible, over a period of one week after the treatment.

Introduction: Violence at work has become an alarming problem worldwide. The real size of the problem is unknown because of underreporting. The aim of the survey was to estimate the prevalence of workplace violence (WPV) among primary health care professionals in the Public Institution Health Center of Sarajevo Canton (HCSC), Bosnia and Herzegovina, and determine possible association with demographic and work-related characteristics of participants. Aim: The aim of the survey was to estimate the prevalence of workplace violence (WPV) among Primary health care professionals in the Public Institution Health Center of Sarajevo Canton (HCSC), Bosnia and Herzegovina, and determine possible association with demographic and work-related characteristics of participants. Methods: A cross-sectional study was conducted between March and May 2017. The sample consisted of medical professionals employed at HCSC. The data were collected by a questionnaire with 42 questions divided into 7 blocks of topic. Descriptive statistics were used to describe the sample. Binary logistic regression analysis was used to test the association between the occurrence of violence and independent variables (gender, age, years of work experience and office setting). Results: A total of 558 out of 983 health professionals employed in Primary health care were involved in this survey. The overall prevalence of WPV was 90.3%, with 498 (89.2%) exposed to verbal violence and 417 (74.7%) exposed to indirect physical violence. Binary logistic regression analysis indicated that the following demographic and work-related characteristics were positively significantly associated with WPV: women were associated with verbal violence [Odd ratio (OR) 1.91, 95% confidence interval (CI) 1.06, 1.47] and stalking [OR= 2.06, 95% CI (1.04, 4.08)]. Office setting (urban) was significantly positively associated with indirect physical violence [OR= 1.59, 95% CI (1.03, 2.47)]. Conclusion: Almost all health professionals in Sarajevo primary health care were subjected to different types of WPV. There is a need for intervention to provide safer workplace environment. Professional, administrative, legal support and protection of health professionals by the health authorities and institution management is urgently required.

Pilot contamination due to pilot reuse in adjacent cells is a very serious problem in massive multi-input multiple-output (MIMO) systems. Therefore, proper pilot allocation is essential for improving system performance. In this paper, we formulate the pilot allocation optimization problem so as to maximize uplink sum rate of the system. To reduce the required complexity inherent in finding the optimum pilot allocation, we propose a low-complexity pilot allocation algorithm, where the formulated problem is decoupled into multiple subproblems; in each subproblem, the pilot allocation at a given cell is optimized while the pilot allocation in other cells id held fixed. This process is continued until the achievable sum rate converges. Through multiple iterations, the optimum pilot allocation is found. In addition, to improve users’ fairness, we formulate fairness-aware pilot allocation as maximization problem of sum of user’s logarithmic rate and solve the formulated problem using a similar algorithm. Simulation results show that the proposed algorithms match the good performance of the exhaustive search algorithm, meanwhile the users’ fairness is improved. key words: pilot contamination, massive MIMO, pilot allocation

Dr. Milan Emil Amrus (1848-1919), was Austro-Hungarian physician and politician who lived and work in Sarajevo and Zagreb. Grammar school he finished in Slavonski Brod and Gymnasium in Zagreb (1-3).

On the October 31st, 2018 passed away Amela Kulenovic, full professor of Faculty of medicine of University of Sarajevo. Professor Amela Kulenovic was born in Sarajevo in 1956. She finished Grammar school and Gymnasium in Sarajevo. She graduated at the Faculty of medicine of University of Sarajevo in the 1980. During a period from 1978 to 1981, she worked as demonstrator at Cathedra of Anatomy of the Faculty of medicine at Sarajevo University. Since 1981 until 1982, she worked as associate assistant at the same Cathedra.

Medical Archives is the oldest biomedical journal in Bosnia and Herzegovina, and all important individuals of medical clinical practice have been published in the Medical Archives, and even today, in index and citation databases: Medline, PubMed, PubMed Central, Scopus, open access variants, is the main advertiser of medical sciences in Bosnia and Herzegovina. Medical Archives in the future would like to become a free-of-charge journal, which will publish open access articles, because finally, the financial component should be a deciding factor whether the article will be published or not. The journal opened the door to PhD students, which should also be an incentive for further progress. The main goal of the journal is to continuously raise the quality, with the addition of establishment as a source of quality science.

The aim of the paper is establishing a link between Big Data connected with Industry 4.0. We are developing a modern economy which is based on supply chains and logistics. Within each logistics are IT solutions. Some of the world’s solutions are compiled in this paper and guidelines are set in the development of such solutions. Industry development 4.0, and in particular the development of Big data, gives us the possibility to introduce new ways of the industry. In the development of industry, maximizing production and reducing costs is extremely important. Real-time data and advanced algorithms give us the possibility to obtain real-time operational industry. Big data and their analysis are of great use in the industry because they improve the accuracy of the decision-making process. We must organize a structure that can design, manage and develop projects based on IoT and Big Data / Analytics technologies. In the industry, good sensor technology provides access to information. The paper has a focus on the managing the database with Big data in the Industry 4.0.

Abstract While increased serum concentrations of CXCL9/10 are associated with acute cellular rejection (ACR) occurrence, the association between CXCL9/10 single nucleotide polymorphisms (SNPs) and ACR after liver transplantation (LT) remains unknown. In the present case-control study, polymorphisms of CXCL9 (rs10336) and CXCL10 (rs3921) were determined by polymerase chain reaction in 215 liver transplant recipients. ACR was defined as biopsy proven within 6 months after LT. As selected SNPs were in 3’-UTR region, their possible association with protein synthesis was assessed by measuring the plasma concentration of CXCL9/10 in a cohort of 40 new transplant patients using ELISA. There was no association between CXCL9/10 genotypes and overall incidence of ACR. However, patients with CXCL9 genotype AA developed ACR earlier than patients with GG genotype (P = .003), with similar results for CXCL10 gene (CC vs GG; P = .005). There was no statistically significant difference in plasma concentrations of CXCL9/10 between the rejectors and the non-rejectors. Of note, patients with AA CXCL9 genotype had significantly higher CXCL9 plasma concentrations than patients with AG (P = .01) or GG genotype (P = .045). In conclusion, the SNPs of CXCL9 (rs10336) and CXCL10 (rs3921) are not associated with the incidence of ACR. However, patients with CXCL9 genotype AA developed ACR earlier and the same genotype was associated with greater plasma concentrations suggesting the involvement of CXCL9 mediated processes in ACR development.