We analyze the contributions to the neutrinoless double β decay (0νββ-decay) coming from the Grand Unified Theory (GUT) constrained Minimal Supersymmetric Standard Model (MSSM) with trilinear R-parity breaking. We discuss the importance of two-nucleon and pion-exchange realizations of the quark-level 0νββ-decay transitions. In this context, the questions of reliability of the calculated relevant nuclear matrix elements within the Renormalized Quasiparticle Random Phase Approximation (pn-RQRPA) for several medium and heavy open-shell nuclei are addressed. The importance of gluino and neutralino contributions to 0νββ-decay is also analyzed. We review the present experiments and deduce limits on the trilinear R-parity breaking parameter λ ′ 111 from the non-observability of 0νββ-decay for different GUT constrained SUSY scenarios. In addition, a detailed study of limits on the MSSM parameter space coming from the B → X s γ processes by using the recent CLEO and OPAL results is performed. Some studies in respect to the future 0νββ-decay project GENIUS are also presented.12.60. Jv,11.30.Er,23.40.Bw Typeset using REVT E X 1 .

No abstract

No abstract

No abstract

The Minimal Supersymmetric Standard Model with gauge mediated supersymmetry breaking and trilinear R-parity violation is applied to the description of neutrinoless double beta decay. A detailed study of limits on the parameter space coming from the B → Xsγ processes by using the recent CLEO results is performed. The importance of two-nucleon and pion-exchange realizations of 0νββ decay together with gluino and neutralino contributions to this process are addressed. We have deduced new limits on the trilinear R-parity breaking parameter λ ′ 111 from the non-observability of 0νββ in several medium and heavy open-shell nuclei for different gauge mediated breaking scenarios. In general, they are stronger than those known from other analyses. Also some studies with respect to the future 0νββ projects are presented.

In today's turbulent and complex times, the importance of the functional security and continuity of critical infrastructure (CI) is of particular importance. The Industry 4.0 (I4.0) toolset contains many technologies that support CI or are an integral part thereof. The purpose of this paper is to examine the relationship between CI and I4.0. The goal will be achieved by ( 1) conducting a systematic literature review using VOSviewer, (2) identifying leading research topics using Latent Dirichlet Allocation, (3) mapping the results obtained and identifying possibilities for further research. Web of Science, Scopus, and a set of specific keywords were used to select peer-reviewed papers presenting evidence of the considered connections. Selected clusters and topics were used to build a reference framework formed by relations between CI and I4.0. The results revealed that despite the popularity of both issues, studies examining the mutual relations between the same are lacking. The added value of the article is that it organizes the knowledge related to relations between I4.0 and CI, and indicates the research areas that require further scrutiny. It is the first comprehensive literature review focusing specifically on CI & I4.0.

translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Today's Internet marketing ecosystems are very complex, with many competing players, transactions concluded within milliseconds, and hundreds of different parameters to be analyzed in the decision-making process. In addition, both sellers and buyers operate under uncertainty, without full information about auction results, purchasing preferences, and strategies of their competitors or suppliers. As a result, most market participants strive to optimize their trading strategies using advanced machine learning algorithms. In this publication, we propose a new approach to determining reserve-price strategies for publishers, focusing not only on the profits from individual ad impressions, but also on maximum coverage of advertising space. This strategy combines the heuristics developed by experienced RTB consultants with machine learning forecasting algorithms like ARIMA, SARIMA, Exponential Smoothing, and Facebook Prophet. The paper analyses the effectiveness of these algorithms, recommends the best one, and presents its implementation in real environment. As such, its results may form a basis for a competitive advantage for publishers on very demanding online advertising markets.