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196 result(s) for "Multiverse."
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An infinity of worlds : cosmic inflation and the beginning of the universe
\"This book introduces cosmological inflation, a landmark theory on what happened before the Big Bang and what it means for other cosmological theories, such as the theory of a multiverse\"-- Provided by publisher.
Post-Editorial of “The Multiverse” Special Volume
A succesful series of papers devoted to various aspects of an idea of the Multiverse have been gathered together and presented to the readers. In this post-editorial we briefly challenge the content referring to the main issues dealt with by the Authors. We hope that this will inspire other investigators for designing future tests which could make this very notion of the Multiverse falsifiable.
The cyber meta-reality : beyond the metaverse
\"You live in the cyber meta-reality. You and your family probably spend more time in this reality than any other. This book will help anyone who lives in the cyber meta-reality to understand where they live, how this world is evolving, and how we will likely evolve along with it\"-- Provided by publisher.
Increasing Transparency Through a Multiverse Analysis
Empirical research inevitably includes constructing a data set by processing raw data into a form ready for statistical analysis. Data processing often involves choices among several reasonable options for excluding, transforming, and coding data. We suggest that instead of performing only one analysis, researchers could perform a multiverse analysis, which involves performing all analyses across the whole set of alternatively processed data sets corresponding to a large set of reasonable scenarios. Using an example focusing on the effect of fertility on religiosity and political attitudes, we show that analyzing a single data set can be misleading and propose a multiverse analysis as an alternative practice. A multiverse analysis offers an idea of how much the conclusions change because of arbitrary choices in data construction and gives pointers as to which choices are most consequential in the fragility of the result.
Million mile road trip : a novel
\"When a seemingly-innocent trumpet solo somehow opens a transdimensional connection to Mappyworld, a parallel universe containing a single, endless plain divided by ridges into basin-like worlds, three California teens find themselves taken on a million mile road trip across a landscape of alien civilizations in a beat-up, purple 80s wagon ... with a dark-energy motor, graphene tires and quantum shocks, of course. Their goal? To stop carnivorous flying saucers from invading Earth. And, just maybe, to find love along the way\"-- Provided by publisher.
The data-processing multiverse of event-related potentials (ERPs): A roadmap for the optimization and standardization of ERP processing and reduction pipelines
In studies of event-related brain potentials (ERPs), numerous decisions about data processing are required to extract ERP scores from continuous data. Unfortunately, the systematic impact of these choices on the data quality and psychometric reliability of ERP scores or even ERP scores themselves is virtually unknown, which is a barrier to the standardization of ERPs. The aim of the present study was to optimize processing pipelines for the error-related negativity (ERN) and error positivity (Pe) by considering a multiverse of data processing choices. A multiverse analysis of a data processing pipeline examines the impact of a large set of different reasonable choices to determine the robustness of effects, such as the impact of different decisions on between-trial standard deviations (i.e., data quality) and between-condition differences (i.e., experimental effects). ERN and Pe data from 298 healthy young adults were used to determine the impact of different methodological choices on data quality and experimental effects (correct vs. error trials) at several key stages: highpass filtering, lowpass filtering, ocular artifact correction, reference, baseline adjustment, scoring sensors, and measurement procedure. This multiverse analysis yielded 3,456 ERN scores and 576 Pe scores per person. An optimized pipeline for ERN included a 15 Hz lowpass filter, ICA-based ocular artifact correction, and a region of interest (ROI) approach to scoring. For Pe, the optimized pipeline included a 0.10 Hz highpass filter, 30 Hz lowpass filter, regression-based ocular artifact correction, a -200 to 0 ms baseline adjustment window, and an ROI approach to scoring. The multiverse approach can be used to optimize pipelines for eventual standardization, which would support efforts toward establishing normative ERP databases. The proposed process of analyzing the data-processing multiverse of ERP scores paves the way for better refinement, identification, and selection of data processing parameters, ultimately improving the precision and utility of ERPs.
The affair of the mysterious letter
\"Upon returning to the city of Khelathra-Ven after five years fighting a war in another universe, Captain John Wyndham finds himself looking for somewhere to live, and expediency forces him to take lodgings at 221b Martyrs Walk. His new housemate is Ms. Shaharazad Haas, a consulting sorceress of mercurial temperament and dark reputation. When Ms. Haas is enlisted to solve a case of blackmail against one of her former lovers, Miss Eirene Viola, Captain Wyndham finds himself drawn into a mystery that leads him from the salons of the literary set to the drowned back-alleys of Ven and even to a prison cell in lost Carcosa. Along the way he is beset by criminals, menaced by pirates, molested by vampires, almost devoured by mad gods, and called upon to punch a shark. But the further the companions go in pursuit of the elusive blackmailer, the more impossible the case appears. Then again, in Khelathra-Ven reality is flexible, and the impossible is Ms. Haas' stock-in-trade\"-- Provided by publisher.
Anthropic Selection of Physical Constants, Quantum Entanglement, and the Multiverse Falsifiability
This paper evaluates some important aspects of the multiverse concept. Firstly, the most realistic opportunity for it which is the spacetime variability of the physical constants and may deliver worlds with different physics, hopefully fulfilling the conditions of the anthropic principles. Then, more esoteric versions of the multiverse being the realisation of some abstract mathematics or even logic (cf. paper by M. Heller in this volume). Finally, it evaluates the big challenge of getting any signal from “other universes” using recent achievements of the quantum theory.
Reverie
While recovering from an attack that leaves him without his memory, gay teenager Kane Montgomery stumbles into a world where dreams known as reveries take on a life of their own, and it is up to Kane and a few unlikely allies to stop them before they spillover into the waking world.
Masi Entropy for Satellite Color Image Segmentation Using Tournament-Based Lévy Multiverse Optimization Algorithm
A novel multilevel threshold segmentation method for color satellite images based on Masi entropy is proposed in this paper. Lévy multiverse optimization algorithm (LMVO) has a strong advantage over the traditional multiverse optimization algorithm (MVO) in finding the optimal solution for the segmentation in the three channels of an RGB image. As the work advancement introduces a Lévy multiverse optimization algorithm which uses tournament selection instead of roulette wheel selection, and updates some formulas in the algorithm with mutation factor. Then, the proposal is called TLMVO, and another advantage is that the population diversity of the algorithm in the latest iterations is maintained. The Masi entropy is used as an application and combined with the improved TLMVO algorithm for satellite color image segmentation. Masi entropy combines the additivity of Renyi entropy and the non-extensibility of Tsallis entropy. By increasing the number of thesholds, the quality of segmenttion becomes better, then the dimensionality of the problem also increases. Fitness function value, average CPU running time, Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM) and Feature Similarity Index (FSIM) were used to evaluate the segmentation results. Further statistical evaluation was given by Wilcoxon's rank sum test and Friedman test. The experimental results show that the TLMVO algorithm has wide adaptability to high-dimensional optimization problems, and has obvious advantages in objective function value, image quality detection, convergence performance and robustness.