A novel-iterative simulation method for performance analysis of non-coherent FSK/ASK systems over rice/rayleigh channels using the wolfram language

In this paper, a new approach in solving and analysing the performances of the digital telecommunication non-coherent FSK/ASK system in the presence of noise is derived, by using a computer algebra system. So far, most previous solutions cannot be obtained in closed form, which can be a problem for detailed analysis of complex communication systems. In this case, there is no insight into the influence of certain parameters on the performance of the system. The analysis, modelling and design can be time-consuming. One of the main reasons is that these solutions are obtained by utilising traditional numerical tools in the shape of closed-form expressions. Our results were obtained in closed-form solutions. They are resolved by the introduction of an iteration-based simulation method. The Wolfram language is used for describing applied symbolic tools, and Schematic Solver application package has been used for designing. In a new way, the probability density function and the impact of the newly introduced parameter of iteration are performed when errors are calculated. Analyses of the new method are applied to several scenarios: Without fading, in the presence of Rayleigh fading, Rician fading, and in cases when the signals are correlated and uncorrelated

Quality Red Wines: Changing the Content of Anthocyanins in the Process of Ripening Grapes

The content of anthocyanins in grape affects the color and sensory properties of red wine. This paper deals with the quality of Cabernet Sauvignon wines examining changes in the content of anthocyanins in the process of ripening grapes. The HPLC results show that the skin extracts obtained from the early defoliation plants showed up to 6 % and corresponding wine up to 24 % increase of the content of total anthocyanins as compared to the extracts from the control grape and corresponding wine samples. Partial early defoliation may be an excellent tool for control of anthocyanins in grapes and may be employed as a management practice as parameter for quality of red wines

Contrastive Bayesian Analysis for Deep Metric Learning

Recent methods for deep metric learning have been focusing on designing different contrastive loss functions between positive and negative pairs of samples so that the learned feature embedding is able to pull positive samples of the same class closer and push negative samples from different classes away from each other. In this work, we recognize that there is a significant semantic gap between features at the intermediate feature layer and class labels at the final output layer. To bridge this gap, we develop a contrastive Bayesian analysis to characterize and model the posterior probabilities of image labels conditioned by their features similarity in a contrastive learning setting. This contrastive Bayesian analysis leads to a new loss function for deep metric learning. To improve the generalization capability of the proposed method onto new classes, we further extend the contrastive Bayesian loss with a metric variance constraint. Our experimental results and ablation studies demonstrate that the proposed contrastive Bayesian metric learning method significantly improves the performance of deep metric learning in both supervised and pseudo-supervised scenarios, outperforming existing methods by a large margin.Comment: Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligenc

The subchronic effects of 3,4-methylendioxymethamphetamine on oxidative stress in rat brain

The aim of the present study was to evaluate the subchronic effects of 3,4-methylenedioxymethamphetamine on several oxidative stress markers: index of lipid peroxidation (ILP), superoxide dismutase (SOD) activity, superoxide radical (O2.-) levels, and reduced glutathione (GSH) levels in the frontal cortex, striatum and hippocampus of the rat. The study included 64 male Wistar rats (200-250 g). The animals were treated per os with of 5, 10, or 20 mg/kg of 3,4-methylenedioxymethamphetamine (MDMA) every day for 15 days. The subchronic administration of MDMA resulted in an increase in ILP, SOD and O2.-, and a decrease in GSH, from which we conclude that oxidative stress was induced in rat brain

Duvan chvarci : product characterization and comparison between traditional and industrial production

Research Areas: Food Science & TechnologyThis research aimed to investigate and compare traditional products called “duvan chvarci” produced using pork meat and fat, originated from local households and industries. Physical and chemical analysis demonstrated differences among the examined products, mostly in total chloride content and TBARS values. Samples collected at local households showed finer color (higher lightness and yellowness) and sensory properties (rated as “extremely acceptable”), while industrial products were rated between “very acceptable” and “extremely acceptable“. Microbiological analysis exhibited that enterobacteria, coagulase-positive staphylococci, Salmonella spp., Shigella spp., and fungi were absent from all meat products. Dominant microbiota was identified as Lactobacillus spp. and Staphylococcus spp. All tested isolates showed γ-haemolysis on blood agar plates. Tested Staphylococcus spp. were sensitive to novobiocin while Lactobacillus isolates demonstrated sensitivity to ampicillin, chloramphenicol, clindamycin, erythromycin, tetracycline, gentamycin, and streptomycin. None of the tested isolates showed full resistance to antibiotics. Overall, results indicated that duvan chvarci is a microbiologically safe product and provided the initial evidence regarding the physical, chemical, technological, and sensory properties of this widely consumed product in the Balkans.info:eu-repo/semantics/publishedVersio

Phytochemical Analysis, Antioxidant, Antimicrobial, and Cytotoxic Activity of Different Extracts of Xanthoparmelia stenophylla Lichen from Stara Planina, Serbia

The aim of this study was to identify some of the secondary metabolites present in acetonic, methanolic, and hexanic extracts of lichen Xanthoparmelia stenophylla and to examine their antioxidant, antimicrobial, and cytotoxic activity. Compounds of the depsid structure of lecanoric acid, obtusic acid, and atranorin as well as usnic acid with a dibenzofuran structure were identified in the extracts by HPLC. The acetone extract was shown to have the highest total phenolic (167.03 ± 1.12 mg GAE/g) and total flavonoid content (178.84 ± 0.93 mg QE/g) as well as the best antioxidant activity (DPPH IC50 = 81.22 ± 0.54). However, the antimicrobial and antibiofilm tests showed the best activity of hexanic extract, especially against strains of B. cereus, B. subtilis, and S. aureus (MIC < 0.08, and 0.3125 mg/mL, respectively). Additionally, by using the MTT method, the acetonic extract was reported to exhibit a strong cytotoxic effect on the HeLa and HCT-116 cell lines, especially after 72 h (IC50 = 21.17 ± 1.85 and IC50 = 21.48 ± 3.55, respectively). The promising antioxidant, antimicrobial, and cytotoxic effects of Xanthoparmelia stenophylla extracts shown in the current study should be further investigated in vivo and under clinical conditions

On estimation of the exponent of regular variation using a sample with missing observations

Let (Xn) be a sequence of possibly dependent random variables with the same marginal distribution function F, such that 1-F(x)=x-[alpha]L(x), [alpha]>0, where L(x) is a slowly varying function. In this paper the Hill estimator of the exponent of regular variation based on a sample with missing observations from the sequence (Xn) is considered. The asymptotic consistency was proved under some general conditions. This extends results of Hsing [1991. On tail index estimation using dependent data. Ann. Statist. 19, 1547-1569].Regular variation Order statistics Missing observations Parameter estimation

On asymptotic distribution of maxima of complete and incomplete samples from stationary sequences

Let (Xn) be a strictly stationary random sequence and Mn=max{X1,...,Xn}. Suppose that some of the random variables X1,X2,... can be observed and denote by the maximum of observed random variables from the set {X1,...,Xn}. We determine the limiting distribution of random vector under some condition of weak dependency which is more restrictive than the Leadbetter condition. An example concerning a storage process in discrete time with fractional Brownian motion as input is also given.Stationary sequences Weak dependency Missing observations Extreme values Storage process

Evaluation of HTTP/3 Protocol for Internet of Things and Fog Computing Scenarios

The paper investigates the performance properties of the new HTTP/3 protocol in IoT scenarios, with the focus on fog computing. A specific experimental environment is created, providing realistic IoT conditions. End-to-end delay and three different models for packet loss are introduced using the NetEm simulator in Linux. Three contemporary HTTP protocols are contrasted with two scenarios of IoT use. By comparing the experimental results obtained by the protocols HTTP/1, HTTP/2 and HTTP/3, it can be noticed that the protocol HTTP/3 outperforms the protocol HTTP/2 in 19 cases out of 24, yet it only outperforms HTTP/1 in 12 cases out of 24. Even if HTTP/3 is under development, it fulfils the requirements for performance and security for IoT and fog computing scenarios, involving unconstrained devices. With a lower connection overhead and an inherent security, HTTP/3 has secured a firm place for itself among other specialised IoT protocols

An operation - reduced calculation method for solving complex communication systems

© 2012-2017. Calculation and design of complex communication systems are usually based on expert knowledge in telecommunications and through the usage of numeric software tools. According to various requests and initial conditions, the software procedure can be time consuming due to a large number of operations. This paper incorporates a new approach focused on a novel concept of calculation in optimisation procedures of complex communication systems, which reduces the number of operations. The key point is defining an auxiliary function and modelling a new optimised function suitable for further manipulation and calculation. We evaluate the hypothesis that a fast yet accurate approximation of an error probability is possible using a parametric function. It is used for calculation and analysis of error probability using an optimised function. The method is verified and validated on PC and Raspberry pi