As fish has been known for its high protein content and other health benefits, aquaculture production has started to flourish in Serbia. Common carp is the predominant species being farmed, compris...

Congestion control algorithms are usually developed in isolation without thoroughly investigating their co-existence and interactions with other protocols and/or congestion control algorithms. As a result, flows using different algorithms and/or having different Round-Trip Times may overpower each other, resulting in unfair resource distribution, with a subset of the flows usually claiming most of the capacity.To solve the aforementioned problem, we make use of programmable switches and the network programming language P4 to enforce fairness from within the network itself, instead of from the congestion control algorithms ran at the end-points. Our solution P4air continuously monitors the properties of all flows that pass through a switch and groups them based on the behavior of the congestion control algorithms used. Furthermore, for each group, it applies appropriate measures to suppress the aggressive flows and boost smaller flows. Our experiments, using modern programmable hardware (Barefoot Tofino switch), demonstrate significant performance gains for P4air in terms of fairness compared to state-of-the-art solutions.

Background Metanephric adenoma (MA) is a rare benign renal neoplasm. On occasion, MA can be difficult to differentiate from renal malignancies such as papillary renal cell carcinoma in adults and Wilms̕ tumor in children. Despite recent advancements in tumor genomics, there is limited data available regarding the genetic alterations characteristic of MA. The purpose of this study is to determine the frequency of metanephric adenoma cases exhibiting cytogenetic aberration t (9;15)(p24;q24), and to investigate the association between t (9,15) and BRAF mutation in metanephric adenoma. Methods This study was conducted on 28 archival formalin fixed paraffin-embedded (FFPE) specimens from patients with pathologically confirmed MA. Tissue blocks were selected for BRAF sequencing and fluorescent in situ hybridization (FISH) analysis for chromosomal rearrangement between KANK1 on chromosome 9 (9p24.3) and NTRK3 on chromosome 15 (15q25.3), which was previously characterized and described in two MA cases. Results BRAF V600E mutation was identified in 62% of our cases, 9 (38%) cases were BRAF WT , and 4 cases were uninformative. Of the 20 tumors with FISH results, two (10%) were positive for KANK1-NTRK3 fusion. Both cases were BRAF WT suggesting mutual exclusivity of BRAF V600E and KANK1-NTRK3 fusion, the first such observation in the literature. Conclusions Our data shows that BRAF mutation in MA may not be as frequent as suggested in the literature and KANK-NTRK3 fusions may account for a subset of BRAF WT cases in younger patients. FISH analysis for KANK1-NTRK3 fusion or conventional cytogenetic analysis may be warranted to establish the diagnosis of MA in morphologically and immunohistochemically ambiguous MA cases lacking BRAF mutations.

Introduction: The primary source of strength and support is the child’s family. A special role in caring for a child with developmental disabilities is played by his mother. The objective of this research is to find out the assessment of the quality of life (QOL) of disabled children mothers as well as to research the relation of sociodemographic variables of the respondents, as specified in this study and estimate the quality of their life and health.Methods: The cross-sectional study was performed by the use of the descriptive-analytical method. In a targeted association of families which have children and persons with difficulties was conducted this research on a sample of 100 registered mothers. The research instrument was the standardized questionnaire for QOL, the World Health Organization QOL-BREF and the users’ records of the mothers in the association.Results: The average age of the respondents was M = 48. 01 ± 11. 68. About 62% of the respondents are married, 54% have a high school diploma, 67% are not employed, 68% of the respondents did not declare to have health problems, and among those who declared to have health problems, the most common disease was diabetes mellitus. The average number of household members was M = 3. 44 members. The number of the household members was significantly and positively related to the domain of social interaction (rs = 0. 219; p < 0. 05), the domain of the environment (rs = 0. 220; p < 0. 05) and to the general QOL (rs = 0. 227; p < 0. 05). The age of the respondents was significantly and positivelyrelated only to the environmental domain (rs = 0. 205; p < 0. 05). The respondents who drive a car showed a significantly higher level of QOL in the field of mental health (p = 0. 042) and the environment (p = 0. 005). Concerning mothers with higher incomes rate, their QOL was better in the following domains: Physical health (p = 0. 030), mental health (p = 0. 002), environment (p = 0. 000001), and general QOL (p = 0. 0002).Conclusion: The respondents with a larger number of household members, those who have the support of family members, who were without health problems, and who independently use own car for transportation, consider their QOL as being better. Therefore, a promotional – preventive program for improving the life quality of mothers of children and persons with disabilities should include accessible life in the community and the ability to recognize the unique needs of the entire family of children and persons with disabilities.

Introduction Urine neutrophil gelatinase-associated lipocalin (uNGAL) is a biochemical marker significant for early prediction of acute kidney injury in adults. However, it has not been examined sufficiently among the infant population, particularly newborns in terms of reference values. The aim of our study was to determine the concentration of uNGAL in healthy term newborns and to determine if there was a difference in uNGAL concentration according to gender, postnatal age and birth weight. Materials and methods Our study involved 81 healthy term newborns birth (≥ 37 weeks, Apgar score ≥ 8 in the first minute after birth, CRP < 5 mg/L). Urine NGAL was measured using chemiluminescent microparticle immunoassay (CMIA) within 72 hours after birth, on Architect plus ci8200 analyser (Abbott, Chicago, USA). Data were analysed using Statistica software. Results The median concentration of uNGAL in the whole study group of healthy term newborns was 27.1 ng/mL (16.5-56.0 ng/mL) (newborn girls, 27.1 ng/mL (15.8-47.9 ng/mL); newborn boys, 27.9 ng/mL (16.5-61.0 ng/mL), P = 0.941). Median uNGAL concentration according to postnatal age expressed in days was 28.2 ng/mL (11.7-57.2 ng/mL) 1st day, 28.9 ng/mL (16.5-64.2 ng/mL) 2nd day and 23.9 ng/mL (20.2-46.6) 3rd day, P = 0.863. Regarding birth weight for newborns < 3500 g, median concentration was 25.0 ng/mL (16.5-45.4 ng/mL) and for weight ≥ 3500 g 30.6 ng/mL (16.5-64.2 ng/mL), P = 0.455. Conclusions There were no significant difference in uNGAL concentration in relation to gender, postnatal age and birth weight.

On the question: how to react in a particular situation, the management of the company must have a quick answer. In the time of fast and huge changes in production, the management must know what resources are available in the company and what kind of environment it faces. To respond promptly to the requirements of the environment, the company must define a clear strategy for its business. To define a strategy, management must know the state of the company. From these reasons, in this research it was conducted SWOT analysis of specific company, and after that the elements of the SWOT matrix were ranked using fuzzy PIPRECIA method. This ranking shows on which element company should pay the most attention.

Closed-loop validation of autonomous vehicles is an open problem, significantly influencing development and adoption of this technology. The main contribution of this paper is a novel approach to reproducible, scenario-based validation that decouples the problem into several sub-problems, while avoiding to brake the crucial couplings. First, a realistic scenario is generated from the real urban traffic. Second, human participants, drive in a virtual scenario (in a driving simulator), based on the real traffic. Third, human and automated driving trajectories are reproduced and compared in the real vehicle on an empty track without traffic. Thus, benefits of automation with respect to safety, efficiency and comfort can be clearly benchmarked in a reproducible manner. Presented approach is used to benchmark performance of SBOMP planner in one scenario and validate SuperHuman driving performance.

The study aim was to determine the effectiveness of vibration training on changes in strength in individuals of both sexes. Vibration training is a modern form of training that is becoming more and more widespread and frequent, and involves the application of vibrational stimulations of a certain form to cause functional and structural changes. It is used during strength training, where it can act in isolation on individual muscle regions or as whole body vibrational training. These observations provide an opportunity to apply a new method in training to improve the training itself and thus the performance of the athletes. The impact of this training on motor skills, and even strength, as one of the most studied areas, has not been extensively researched. This paper analyzes 14 studies on the effects of vibrational training on the change in power, and the papers are systematically analyzed. A review of research conducted in the field of this training shows that the effects of such training methods show in both professional and recreational athletes. In most of the studies analyzed, training has shown significant changes in power as well as in other motor skills.

Introduction: Intervertebral disc (IVD) degeneration (IDD) is one of the main causes of low back pain (LBP). Standardized diagnostic algorithms for adequate estimation and classification of changes of lumbar discs are mandatory before starting with therapy.Methods: One hundred patients who were indicated for lumbar magnetic resonance imaging (MRI) were included in the study. Pfirrmann grading system was used for the determination of IDD, while the visual analog scale (VAS) is used for evaluation of the intensity of LBP. To quantification of disability for LBP, we used the Oswestry Disability Index (ODI).Result: Results showed higher Pfirrmann grades II and III for L2/L3 and L3/L4 lumbar levels and lower scores at L4/L5 and L5/S1. The analysis also showed low scores at the L2/3 and L3/4 lumbar level for Pfirrmann grades IV and V, and there was an increased at more inferior lumbosacral levels L4/5 and L5/S1. There was a significant correlation between Pfirrmann grades and ODI (p = 0.24) as well as VAS (p = 0.16).Conclusion: Higher Pfirrmann grades correlated with increased ODI and VAS. Therefore, MRI can be used as a strong indicator of clinical appearance, but it is important to take into consideration that LBP should be correlated with clinical features. By summing Pfirrmann grades of all lumbar intervertebral levels in each patient, we can get more accurate insight for the status of the lumbar spine.

Modern control techniques of electrical drives (EDs) use robust control algorithms. One of such algorithms is variable structure control (VSC) with sliding mode (SM). SM control needs more information on the controlled plant than the conventional PI(D) control. Valid mathematical model of the controlled plant is necessary for the SM controller design. Generalized mathematical model of two-phase electrical machine and its adaptation to direct current (DC) and induction motor (IM) are given in this paper, employed in the cascade control structure. Also, the basic SM control theory and discrete-time controller design approach, developed by the authors, are given. Finally, experimentally realized examples of speed and position control of DC and IM are given as an illustration of the efficiency of the promoted EDs controller design via discrete-time VSC.

An integrated smart suit sensor and positioning system electronic Internet of Things (IoT) prototype has been developed to address the growing need for personal welfare monitoring of first-line responders, defenders, and workers exposed to industrial or other hazards, as well as other commercial and defense, and new applications in cloud-based IoT. The system provides a global positioning system (GPS) position map with coordinate data, current Greenwich mean time (GMT) readout, subject's heart rate, body temperature, and a long-wave thermal video camera that provides a forward-looking thermal image. Physiologic data and thermal imaging of the subject may be viewed by monitoring personnel using Internet browser connected to the system's static Internet protocol (IP) address. The system is Wi-Fi connected to a local network, which can be extended to enable secure connection to the Internet with incorporation of additional firmware. Details regarding hardware and software configuration are presented along with an appendix containing additional data. Source code for the software modules currently running on the prototype system is also available for interested parties or potential users and customers.

Bifacial photovoltaic modules have gained increasing attention in the last decade due to their potential to achieve higher annual energy yield in comparison to conventional monofacial modules. Since the higher energy production is also accompanied by higher investment costs, it is necessary to conduct a careful techno-economic analysis in order to provide the investors an answer about their accurate cost efficiency. The achievable energy output of a bifacial photovoltaic power plant is influenced by many factors such as module geometry, row spacing, orientation of the modules and ground albedo. Since the methodology for prediction of the energy yield has not yet been standardized, the main target of this paper was to create one version of a comprehensive standalone energy calculator that would serve as a useful performance assessment tool for designers and investors. The developed software tool was tested on several characteristic scenarios and the obtained results were compared with the results provided by two freely available online calculators.

Security is one of the most actual topics in the online world. Lists of security threats are constantly updated. One of those threats are phishing websites. In this work, we address the problem of phishing websites classification. Three classifiers were used: K-Nearest Neighbor, Decision Tree and Random Forest with the feature selection methods from Weka. Achieved accuracy was 100% and number of features was decreased to seven. Moreover, when we decreased the number of features, we decreased time to build models too. Time for Random Forest was decreased from the initial 2.88s and 3.05s for percentage split and 10-fold cross validation to 0.02s and 0.16s respectively.