pinecone/core-2020-05-10-deduplication huggingface dataset:
Extra dimensions in space and time

Covers topics such as Einstein and the Fourth Dimension; Waves in a Fifth Dimension; and String Theory and Branes Experimental Tests of Extra Dimensions. This book offers a discussion on Two-Time Physics"…The Multiversal book series is equally unique, providing book-length extensions of the lectures with enough additional depth for those who truly want to explore these fields, while also providing the kind of clarity that is appropriate for interested lay people to grasp the general principles involved." -Lawrence M. Krauss The aim of this book is to continue to raise public awareness in the exciting field of theoretical physics and cosmology. It covers the latest theories at a level not weighed down by highly mathematical equations. Each chapter is written by a leading expert who is presently researching and lecturing on the topics. Extra Dimensions in Space and Time has two main features that differentiate it from all other books written about the topic: The first feature is the coverage of extra dimensions in time (Two-Time physics), which has not been covered in earlier books. All other books on the topic focus on extra spatial dimensions. The second feature deals with level of presentation. The material is presented in a non-technical language followed by additional technical sections (in the form of appendices or footnotes) that explain the basic equations and formulas in the theories. This feature is very attractive to readers who want to learn more about the theories involved beyond the basic description for a layperson. Topics Covered: Structure of matter & fundamental forces Einstein’s relativistic view of space-time Equivalence Principle and General Relativity Symmetry and perspective Why higher space or time dimensions? Extra space dimensions and String Theory Einstein and the Fourth Dimension Traditional Extra Dimensions String Theory and Branes Warped Extra Dimensions How to Look For Extra Dimensions? Extra Dimensions: The equations behind the words Two Time Physics Current status of 2T-Physics and future directions Multiversal Journeys™ is a trademark of Farzad Nekoogar and Multiversal Journeys, a 501(c)(3) nonprofit organization
The extension of the omnipaper system in the context of scientific publications

Today the Internet is an important information source, which facilitates the search and access to information contents on the Web. In fact, the Internet has become an important tool used daily by scholars in the development of their work. However the contents published on the Web increase daily and consequently difficult the identification of new contents published in various information sources. In this context the RSS technology introduces a new dimension in the access and dis-tribution mechanisms of new contents published by distributed information sources. In the scope of scientific contents the use of RSS technology helps the scholars to be up to date of new scientific resources provided by several and dis-tributed information sources. An instance of the OmniPaper RDF prototype has been developed in order to instantiate the mechanisms of distributed information retrieval investigated in the context of the news published in newspapers and use them in the context of scientific contents. In addition a central metadatabase was developed through the RSS approach, in order to enable the scientific content syn-dication. This paper intends to describe the steps involved in the development of the instantiation system of the OmniPaper RDF prototype
Metadata for describing learning scenarios under European Higher Education Area paradigm

In this paper we identify the requirements for creating formal descriptions of learning scenarios designed under the European Higher
Education Area paradigm, using competences and learning activities as the basic pieces of the learning process, instead of contents and learning resources, pursuing personalization. Classical arrangements of content based courses are no longer enough to describe all the richness of this new learning process, where user profiles, competences and complex hierarchical itineraries need to be properly combined. We study the intersection with the current IMS Learning Design specification and the
additional metadata required for describing such learning scenarios. This new approach involves the use of case based learning and collaborative
learning in order to acquire and develop competences, following adaptive learning paths in two structured levels
Standardising terminology and notation for the analysis of demographic processes in marked populations

The development of statistical methods for the analysis of demographic processes in marked animal populations has brought with it the challenges of communication between the disciplines of statistics, ecology, evolutionary biology and computer science. In order to aid communication and comprehension, we sought to root out a number of cases of ambiguity, redundancy and inaccuracy in notation and terminology that have developed in the literature. We invited all working in this field to submit topics for resolution and to express their own views. In the ensuing discussion forum it was then possible to establish a series of general principles which were, almost without exception, unanimously accepted. Here we set out the background to the areas of confusion, how these were debated and the conclusions which were reached in each case. We hope that the resulting guidelines will be widely adopted as standard terminology in publications and in software for the analysis of demographic processes in marked animal populationspostprin
Handbook of Marketing Decision Models

This book presents the state of the art in marketing decision models, dealing with new modeling areas such as customer relationship management, customer value and online marketing, but also describes recent developments in other areas. In the category of marketing mix models, the latest models for advertising, sales promotions, sales management, and competition are dealt with. New developments are presented in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets. Not only are the most recent models discussed, but the book also pays attention to the implementation of marketing models in companies and to applications in specific industries
Peer-to-Peer Metadata Management for Knowledge Discovery Applications in Grids

Computational Grids are powerful platforms gathering computational power and storage space from thousands of geographically distributed resources. The applications running on such platforms need to efﬁciently and reliably access the various and heterogeneous distributed resources they offer. This can be achieved by using metadata information describing all available resources. It is therefore crucial to provide efﬁcient metadata management architectures and frameworks. In this paper we describe the design of a Grid metadata management service. We focus on a particular use case: the Knowledge Grid architecture which provides high-level Grid services for distributed knowledge discovery applications. Taking advantage of an existing Grid data-sharing service, namely JuxMem, the proposed solution lies at the border between peer-to-peer systems and Web services
The Maize megagametophyte

The life cycle of plants alternates between a diploid and a haploid generation. In flowering plants the haploid gametophytes are sexually dimorphic and produce the gametes, which fuse to produce the diploid sporophyte of the next generation. The megagametophyte of maize follows the Polygonum-type pattern of development:one of the four meiotic products, the functional megaspore, undergoes three free nuclear divisions to produce a polarized, eight-nucleate syncytium. Cellularization produces seven cells that differentiate into four cell types:two syn-ergids, three antipodals, and the two female gametes, the egg cell and the central cell. The position of the nuclei in the syncytial phase and the position and differentiation of cell types after cellularization follow stereotypical patterns, suggesting a tight genetic regulation of the cellular processes involved. Recent genetic evidence demonstrates that many of these cellular processes are regulated by the activity of the haploid genome of the megagametophyte itself, rather than the parental diploid genome from which it originates. The functions performed by the megagameto-phyte includes both basic cellular functions and functions that unique to the meg-agametophyte, such as pollen tube guidance and reception, as well as processes associated with double fertilization and the maternal control over seed development. In this chapter we describe the development and functions of the megagame-tophyte, and what is known the regulation of the underlying processes
Microarray data mining: selecting trustworthy genes with gene feature ranking

Gene expression datasets used in biomedical data mining frequently have two characteristics: they have many thousand attributes but only relatively few sample points and the measurements are noisy. In other words, individual expression measurements may be untrustworthy. Gene Feature Ranking (GFR) is a feature selection methodology that addresses these domain specific characteristics by selecting features (i.e. genes) based on two criteria: (i) how well the gene can discriminate between classes of patient and (ii) the trustworthiness of the microarray data associated with the gene. An example from the pediatric cancer domain demonstrates the use of GFR and compares its performance with a feature selection method that does not explicitly address the trustworthiness of the underlying data
Visual data mining for developing competitive strategies in higher education

Information visualization is the growing field of computer science that aims at visually mining data for knowledge discovery. In this paper, a data mining framework and a novel information visualization scheme is developed and applied to the domain of higher education. The presented framework consists of three main types of visual data analysis: Discovering general insights, carrying out competitive benchmarking, and planning for High School Relationship Management (HSRM). In this paper the framework and the square tiles visualization scheme are described and an application at a private university in Turkey with the goal of attracting brightest students is demonstrated
A dynamical-system analysis of the optimum s-gradient algorithm

http://www.springer.com/978-0-387-79935-3We study the asymptotic behaviour of Forsythe's s-optimum gradient algorithm for the minimization of a quadratic function in R^d using a renormalization that converts the algorithm into iterations applied to a probability measure. Bounds on the performance of the algorithm (rate of convergence) are obtained through optimum design theory and the limiting behaviour of the algorithm for s=2 is investigated into details. Algorithms that switch periodically between s=1 and s=2 are shown to converge much faster than when s is fixed at 2
Asymptotic normality of nonlinear least squares under singular experimental designs

http://www.springer.com/978-0-387-79935-3We study the consistency and asymptotic normality of the LS estimator of a function h(theta) of the parameters theta in a nonlinear regression model with observations y_i=eta(x_i,theta) +epsilon _i, i=1,2... and independent errors epsilon_i. Optimum experimental design for the estimation of h(theta) frequently yields singular information matrices, which corresponds to the situation considered here. The difficulties caused by such singular designs are illustrated by a simple example: depending on the true value of the model parameters and on the type of convergence of the sequence of design points x_1,x_2... to the limiting singular design measure xi, the convergence of the estimator of h(theta) may be slower than 1/sqrt(n), and, when convergence is at a rate of 1/sqrt(n) and the estimator is asymptotically normal, its asymptotic variance may differ from that obtained for the limiting design xi (which we call irregular asymptotic normality of the estimator). For that reason we focuss our attention on two types of design sequences: those that converge strongly to a discrete measure and those that correspond to sampling randomly from xi. We then give assumptions on the limiting expectation surface of the model and on the estimated function h which, for the designs considered, are sufficient to ensure the regular asymptotic normality of the LS estimator of h(theta)
Simulation-based evaluation of advanced public transportation information systems (APTIS)

Despite the great success and the broad diffusion of Advanced Public Transportation Information System (APTIS), there is a lack of studies, in the literature, investigating “systematically” how and to what extend such systems can affect network performances and travelers’ path choices. In this paper, with respect to the realistic case study of the city of Naples (South-Italy), we investigate the impacts of information offer in a Public Transportation (PT) network under different network condition, i.e. irregular vs. regular services, congested vs. un-congested lines. The focus is on APTIS deploying shared en-route descriptive information. The presented results are based on the simulation of the three main components of the PT system, namely the network performances, the information provider (i.e. the Operation Control Center) and the travelers. The simulation of these components and their interaction is achieved using different modeling approach: the schedule-based approach for the network representation and the traffic assignment, a statistical model based on the Kalman filter for the prediction of the link travel times within the simulation period, and behavioral discrete choice models, following the Random Utility Theory, for simulating travelers’ behavior
A modified electromagnetism-like algorithm based on a pattern search method

The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [2] is a population-based stochastic global optimization algorithm that uses an attraction-repulsion mechanism to move sample points towards optimality. A typical EM algorithm for
solving continuous bound constrained optimization problems performs a local search in order to gather information for a point, in the
population. Here, we propose a new local search procedure based on the original pattern search method of Hooke and Jeeves, which is simple to implement and does not require any derivative information.
The proposed method is applied to different test problems from the literature and compared with the original EM algorithm
Networked control and observation for Master-Slave systems

2009, 350 p. 110 illus., Hardcover. ISBN: 978-0-387-85594-3This chapter concerns the design of a remote control loop constituted by a Slave system (with computing and energy limitations) and a Master computer, communicating via an Internet connection. In such a situation, the communication cost is reduced but the Quality of Service of the Internet connection is not guaranteed. In particular, when the Slave dynamics are expected to be fast enough, the network induces perturbations (delays, jitters, packet dropouts and sampling) that may damage the performance. Here, the proposed solution relies on a delay-dependent, state-feedback control, computed by the Master on the basis of an observer. This last estimates the present Slave's state from its past sampled outputs, despite the various delays. Then, the computing task is concentrated in the Master. The theoretical results are based on the Lyapunov-Krasovskii functional and the approach of LMI, which guarantee the stabilization performance with respect to the expected maximum delay of the connection. Two strategies are applied: one is a constant controller/observer gain strategy, which takes into account a fixed upperbound for the communication delay. The second strategy aims at improving the performance by adapting the gains to the available network QoS (here, with two possible upperbounds)
Spectral stability of higher order uniformly elliptic operators

We prove estimates for the variation of the eigenvalues of uniformly elliptic
operators with homogeneous Dirichlet or Neumann boundary conditions upon
variation of the open set on which an operator is defined. We consider
operators of arbitrary even order and open sets admitting arbitrary strong
degeneration. The main estimate is expressed via a natural and easily
computable distance between open sets with continuous boundaries. Another
estimate is obtained via the lower Hausdorff-Pompeiu deviation of the
boundaries, which in general may be much smaller than the usual
Hausdorff-Pompeiu distance. Finally, in the case of diffeomorphic open sets we
obtain an estimate even without the assumption of continuity of the boundaries
Technological frame incongruence, diffusion and noncompliance

The Technological Frames of Reference strand of Social Shaping of Technology theory is used to overlay the issues arising from a case study looking at non-compliance with information systems. A recent review of the theory suggests that the process of framing is not always addressed and could be more useful in revealing the differing attitudes and views of the relevant social groups. This paper attempts to address this shortfall by applying the antecedents identified by previous published research on the case study and highlighting their usefulness and value. In this way, the author suggests that issues surrounding non-compliance should not be dismissed as resistance but instead should be addressed and dealt with by managers and developers. The author proposes that the antecedent conditions underpinning different categories of non-compliance can be utilized as a skeleton or framework for understanding the situations in which non-compliance arises. Further examination of the antecedent conditions reveals dependence on inefficient or ineffective organizational situations and issues and thus the framework can be perceived as a scaffold for retribution for those who have ignored uncomfortable truths, allowed these inefficient situations to develop, or ignored cultural issues leading to acts of non-complianc
Tumor-derived Factors Responsible for Dendritic Cell dysfunction

Perpetuation of immune-deficiency throughout tumour development is, to a great degree, the result of impairment of DC function by products secreted by tumours. They include cytokines, non-tumour specific molecules (gangliosides, prostanoids, nitric oxide, etc) and tumour (specific) antigens (MUC-1, PSA, Her-2 neu). They may engender a distortion of DC development, block DC maturation, induce DC apoptosis or interfere with antigen presentation. Identifying those molecules and their interaction with DC will accelerate the development of more efficient immunotherapies. In this chapter we review the current literature on these interactions and highlight the possible avenues of minimisation of their deleterious effects.Full Tex
Diagnosis and Threat Detection Capabilities of the SERENITY Monitoring Framework

The SERENITY monitoring framework offers mechanisms for diagnosing the causes of violations of security and dependability (S&D) properties and detecting potential violations of such properties, called “threats”. Diagnostic information and threat detection are often necessary for deciding what an appropriate reaction to a violation is and taking pre-emptive actions against predicted violations, respectively. In this chapter, we describe the mechanisms of the SERENITY monitoring framework which generate diagnostic information for violations of S&D properties and detecting threats
HCI and Design Research Education

This paper describes the latest insights in HCI education inspired and informed by the creative disciplines, how education is implemented, and how it could be fed back into the artistic fields. It contains examples, contrasts different methods, and discusses and concludes the findings for HCI education in general. A course on HCI is described which is supported by a creative approach, related to art, architecture and music. Experiences are described in of HCI tools and insights such as structured design methods, interaction frameworks and interface design heuristics relevant to the arts fields
Duties and Rights of Biobank Participants: Principled Autonomy, Consent, Voluntariness and Privacy

In this chapter the notion of principled autonomy is presented, and the perspective enabled by this notion is applied in the field of biobanking. Some consequences of the perspective of principled autonomy on aspects of biobank recruitment are discussed in relation to concepts of voluntariness, consent, and privacy. These discussions aim to focus on the fruitfulness of the notion of principled autonomy in bringing out the interconnectedness of the duties and rights of biobank participants – both in general, and in a context of taking part in a research-based universal health care system in particular.The original publication is available at http://link.springer.com/chapter/10.1007%2F978-0-387-93872-1_
Toward osteogenic differentiation of marrow stromal cells and in vitro production of mineralized extracellular matrix onto natural scaffolds

Uncorrected proofTissue engineering has emerged as a new interdisciplinary field for the repair of various tissues, restoring their functions by using scaffolds, cells, and/or bioactive factors. A temporary scaffold acts as an extracellular matrix analog to culture cells and guide the development of new tissue. In this chapter, we discuss the preparation of naturally derived scaffolds of polysaccharide origin, the osteogenic differentiation of mesenchymal stem cells cultured on biomimetic calcium phosphate coatings, and the delivery of biomolecules associated with extracellular matrix mineralization
Analytically Solvable Asymptotic Model of Atrial Excitability

We report a three-variable simplified model of excitation fronts in human atrial tissue. The model is derived by novel asymptotic techniques \new{from the biophysically realistic model of Courtemanche et al (1998) in extension of our previous similar models. An iterative analytical solution of the model is presented which is in excellent quantitative agreement with the realistic model. It opens new possibilities for analytical studies as well as for efficient numerical simulation of this and other cardiac models of similar structure
Multiplicity-free theorems of the restrictions of unitary highest weight
  modules with respect to reductive symmetric pairs

The complex analytic methods have found a wide range of applications in the
study of multiplicity-free representations. This article discusses, in
particular, its applications to the question of restricting highest weight
modules with respect to reductive symmetric pairs. We present a number of
multiplicity-free branching theorems that include the multiplicity-free
property of some of known results such as the Clebsh--Gordan--Pieri formula for
tensor products, the Plancherel theorem for Hermitian symmetric spaces (also
for line bundle cases), the Hua--Kostant--Schmid $K$-type formula, and the
canonical representations in the sense of Vershik--Gelfand--Graev. Our method
works in a uniform manner for both finite and infinite dimensional cases, for
both discrete and continuous spectra, and for both classical and exceptional
cases