This paper presents a data visualization method in 3D space that includes actual positions, volumes and space relations of the chunks of data that are being visualized. Data that is being visualized is real-time information provided by the smart warehouse management system about packages distributed on pallet places within a warehouse. Three different visualizations are shown: qualitative, quantitative and cumulative. The method is graded for the time needed to determine the location of all pallet places that fulfill searched criteria and getting the exact value of searched information for each pallet place. Challenges in presenting this data and interacting with resulting visualizations are discussed. It is concluded that showing actual positions of chunks of data greatly increases the speed of acquiring searched values and positions at the same time for outliers but has issues with clusters and multiple types of queried data.

Abstract This paper presents an error performance analysis and a model of a narrow-band power line carrier (PLC) system for smart metering. Our work is founded on complex analysis based on the probability theory using limited, long-term measurement data of a rural 400 V distribution grid during operation. To obtain confident results, the analysis and modeling of the error performance were done in two steps. In the first step, the Neyman contagious distribution, originally derived in the fields of entomology and bacteriology, was applied to describe the probability distribution of errors in messages in consideration of the impulsive noise in the PLC channel and the influence of forward error correction techniques. In the second step, assuming the bit error rate (BER) was a random variable, where errors are randomly distributed in the sample rather than clustered into messages, the confidence interval of the true BER was calculated for different SNR values. The results served as a foundation for the error performance model proposed in this paper. The presented work is crucial for the research of upper layer communication protocols performance incorporating advanced phenomena at the physical layer.

Abstract A mathematical model which can describe flow and phase change of a number of phases at high temperatures is presented. It combines an interface capturing multiphase model, the P–1 radiation model, and a melting/solidification model. The resulting equations are solved by employing the finite volume discretization, a segregated solution procedure and the SIMPLE algorithm. The melting/solidification model is a finite rate model which in the limiting case behaves like a thermodynamic equilibrium model and it can also be used in situations where the phase change occurs within a range of temperatures as well as for problems where the phase change occurs at a constant temperature. The method is verified on a number of problems. The results obtained show a good agreement with exact solutions or results which can be found in literature.

This paper analyses the impact of the human body on antenna radiation characteristics, with a focus on the polarization aspect. The effect of the body tissues on a wrist-worn ultra-wideband double loop antenna radiation characteristics is investigated at 3, 4 and 5 GHz, based on numerical full-wave simulations complemented with a voxel model of a hand. Results show a strong influence of the body on the gain and polarization characteristics; the radiation in the direction towards the body is suppressed by 20 dB or more, and the antenna polarization changes from a linear to an elliptical one. By simulating an off-body communications scenario with the user walking at a fixed distance from the off-body antenna, up to 6.5 dB lower received power is obtained by using the wearable antenna radiation pattern simulated with the hand phantom, compared to the case when the antenna in free space.

This paper presents an empirical validation of a polarized channel model for off-body communications with dynamic users, based on wideband indoor measurements at 5.8 GHz with a 500 MHz bandwidth. The model is based on geometrical optics, and takes the signal depolarization and influence of user dynamics into account. By considering a scenario with the user walking towards an access point with co-located vertical and horizontal dipole antennas, the simulated receiver (Rx) power is compared against measurements for wearable antenna placements on the chest, wrist and lower leg. The obtained root mean square error is found to be within 2.8 dB for the vertical off-body antenna polarization, and within 3.2 dB for the horizontal one. Fairly matching Rx power values are obtained even when only free space propagation is considered in the simulator, with the error being below 3.4 dB in most cases.

Despite the rapid improvements in the field of microgrid protection, it continues to be one of the most important challenges faced by the distribution system operators. With the introduction of this new operation concept, the existing protection devices are not able to successfully identify, classify and localize different types of faults that occur in the microgrids due to their dynamic behaviour, especially in the islanded mode of operation. This paper presents a methodology that provides the station protection functionalities that include detection and classification of faults, isolation of the faulty feeder and fault location estimation. The proposed method is based on discrete wavelet transform and artificial neural networks. The test system based on the real data, completely developed in MATLAB Simulink, is used to demonstrate the accuracy of all functionalities of the station protection algorithm that can be easily applied in microgrids. The presented results demonstrated the method accuracy and showed that it can be used as an upgrade of the existing protection equipment for the future implementation of the advanced microgrid station protection system.

Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER−). We further compared associations with ER+ and ER− subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER− breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER− breast cancer.

Factor investing has become very popular during the last decades, especially with respect to equity markets. After extending Fama–French factors to corporate bond markets, recent research more often concentrates on the government bond space and reveals that there is indeed clear empirical evidence for the existence of significant government bond factors. Voices that state the opposite refer to outdated data samples. By the documentation of rather homogeneous recent empirical evidence, this review underlines the attractiveness of more sophisticated investment approaches, which are well established in equity and even in corporate bond markets, to the segment of government bonds.

Factor investing has become very popular during the last decades, especially with respect to equity markets. After extending Fama–French factors to corporate bond markets, recent research more often concentrates on the government bond space and reveals that there is indeed clear empirical evidence for the existence of significant government bond factors. Voices that state the opposite refer to outdated data samples. By the documentation of rather homogeneous recent empirical evidence, this review underlines the attractiveness of more sophisticated investment approaches, which are well established in equity and even in corporate bond markets, to the segment of government bonds.

In this paper, three variants of the Floyd-Warshall (FW) All Pairs Shortest Path (APSP) algorithm are presented and compared - the sequential implementation, the parallel implementation using the Nvidia CUDA API, and the blocked parallel version of the FW algorithm. A performance analysis between these three approaches, as well as between the individual phases of the parallel algorithm is provided. The performance of these algorithms has been measured on regular as well as on embedded GPU hardware, and a significant speedup has been achieved. Additionally, this paper shows that a blocked data access results in significant energy savings of up to 72% on embedded hardware.

Summary Background/Aim: Potentially malignant oral lesions (PMOL) are lesions that have an increased risk of malignant transformation concerning healthy oral mucosa. This research aimed to assess the knowledge of students of final years of study on the potentially malignant lesions of the oral cavity. Material and Methods: 120 students of the fourth and fifth years of study participated in this research,60 respondents were fourth-year students, 60 respondents were fifth-year students. All of the respondents signed informed consent.According to the type of research, this is a cross-sectional study which was conducted by completing a 15-item questionnaire. The results were statistically analyzed and processed in the SPSS Statistics 21.0 program. Results: The results indicate that during the clinical examination the fourth and fifth-year students examine the oral mucosa as well. 61% of the students find themselves poorly informed on the PMOL. In the fourth year of study, only 5,5% of students responded that they were well informed, while in the fifth year that number totaled 28,5%. When knowledge self-assessment is concerned the difference has shown itself to be statistically significant between the fourth and fifth-year students. When asked what knowledge on the prevention of oral cancer they expect to receive during their studies, 78% of the students expected more knowledge than at that moment – 36% of which were fifth-year students, and 42% were fourth-year students. Conclusions: Even though the oral cavity is easily accessible to examination, the discovery of oral cancer occurs quite late. Ours, as well as results of other studies, impose the need for better theoretical and practical education of the students.