Ripples of Hope: How Ordinary People Resist Repression Without Violence

In Ripples of Hope, Robert M. Press tells the stories of mothers, students, teachers, journalists, attorneys, and many others who courageously stood up for freedom and human rights against repressive rulers — and who helped bring about change through primarily nonviolent means. Global in application and focusing on Kenya, Liberia and Sierra Leone, this tribute to the strength of the human spirit also breaks new ground in social movement theories, showing how people on their own or in small groups can make a difference.https://aquila.usm.edu/faculty_books/1000/thumbnail.jp

Individual and Organizational Human Rights Activism in Liberia, Sierra Leone, and Kenya

This article examines the ways individual and organizational activists peacefully resisted government repression in recent decades in three sub-Saharan Africa countries. It is based on both archival research and more than 170 interviews by the author with key activists and others in the countries at various times from 2002-2012. This qualitative study makes several contributions to the literature. First, by including individual activism as well as organizational activism, it reveals wider and more varied participation in human rights activism than is normally detected. Second, where the usual focus in resistance studies is on mass movements, this study presents a more complex mosaic of resistance efforts that at times involved a mass campaign but at other times involved small ones as well as individual acts of resistance. Third, building on previous studies, it helps fill a gap in the more static social movement literature by explaining how resistance movements actually start. Fourth, it documents how human rights activists often proceeded without the kind of political openings or external opportunities and material resources usually emphasized in social movement studies. International pressures for change were also important and are noted but are not the main focus of this study that argues that without the domestic resistance such pressures would not have come when they did

Dangerous Crossings: Voices from the African Migration to Italy/Europe

Africans continue to migrate across the Sahara and the Mediterranean Sea, where tens of thousands have drowned. In Libya, many suffer enslavement and other harsh treatment as they flee persecution or poverty, or both. Yet there have been few studies of their journey. This study, based primarily on some sixty interviews by the author in 2014–2016 with African migrants in Italy and France, provides a portrait of resilience, courage, and strategic decisions that differs sharply from media images of helplessness. It suggests reconsidering migrant networks and typologies in view of the breakdown and attempted repair of networks on these journeys, where categories blur, ranging from free to slave and back to free

Symmetrization and enhancement of the continuous Morlet transform

The forward and inverse wavelet transform using the continuous Morlet basis may be symmetrized by using an appropriate normalization factor. The loss of response due to wavelet truncation is addressed through a renormalization of the wavelet based on power. The spectral density has physical units which may be related to the squared amplitude of the signal, as do its margins the mean wavelet power and the integrated instant power, giving a quantitative estimate of the power density with temporal resolution. Deconvolution with the wavelet response matrix reduces the spectral leakage and produces an enhanced wavelet spectrum providing maximum resolution of the harmonic content of a signal. Applications to data analysis are discussed.Comment: 12 pages, 8 figures, 2 tables, minor revision, final versio

Fitting a sum of exponentials to lattice correlation functions using a non-uniform prior

Excited states are extracted from lattice correlation functions using a non-uniform prior on the model parameters. Models for both a single exponential and a sum of exponentials are considered, as well as an alternate model for the orthogonalization of the correlation functions. Results from an analysis of torelon and glueball operators indicate the Bayesian methodology compares well with the usual interpretation of effective mass tables produced by a variational procedure. Applications of the methodology are discussed.Comment: 12 pages, 8 figures, 8 tables, major revision, final versio

Excess number of percolation clusters on the surface of a sphere

Monte Carlo simulations were performed in order to determine the excess number of clusters b and the average density of clusters n_c for the two-dimensional "Swiss cheese" continuum percolation model on a planar L x L system and on the surface of a sphere. The excess number of clusters for the L x L system was confirmed to be a universal quantity with a value b = 0.8841 as previously predicted and verified only for lattice percolation. The excess number of clusters on the surface of a sphere was found to have the value b = 1.215(1) for discs with the same coverage as the flat critical system. Finally, the average critical density of clusters was calculated for continuum systems n_c = 0.0408(1).Comment: 13 pages, 2 figure

Power spectrum for the small-scale Universe

The first objects to arise in a cold dark matter universe present a daunting challenge for models of structure formation. In the ultra small-scale limit, CDM structures form nearly simultaneously across a wide range of scales. Hierarchical clustering no longer provides a guiding principle for theoretical analyses and the computation time required to carry out credible simulations becomes prohibitively high. To gain insight into this problem, we perform high-resolution (N=720^3 - 1584^3) simulations of an Einstein-de Sitter cosmology where the initial power spectrum is P(k) propto k^n, with -2.5 < n < -1. Self-similar scaling is established for n=-1 and n=-2 more convincingly than in previous, lower-resolution simulations and for the first time, self-similar scaling is established for an n=-2.25 simulation. However, finite box-size effects induce departures from self-similar scaling in our n=-2.5 simulation. We compare our results with the predictions for the power spectrum from (one-loop) perturbation theory and demonstrate that the renormalization group approach suggested by McDonald improves perturbation theory's ability to predict the power spectrum in the quasilinear regime. In the nonlinear regime, our power spectra differ significantly from the widely used fitting formulae of Peacock & Dodds and Smith et al. and a new fitting formula is presented. Implications of our results for the stable clustering hypothesis vs. halo model debate are discussed. Our power spectra are inconsistent with predictions of the stable clustering hypothesis in the high-k limit and lend credence to the halo model. Nevertheless, the fitting formula advocated in this paper is purely empirical and not derived from a specific formulation of the halo model.Comment: 30 pages including 10 figures; accepted for publication in MNRA