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Lorenz rediscovered the butterfly effect, which is defined as the sensitive dependence on initial conditions (SDIC), in 1963. In 1972, he used the term "butterfly" as a metaphor to illustrate how a small perturbation can lead to a tornado with a complex structure. The metaphorical butterfly effect, which celebrated its 50th anniversary in 2022, is not precisely the same as the original butterfly effect with SDIC. To commemorate the 50th anniversary, a Special Issue was launched and invited the submission of research and review articles that can help to enhance our understanding of both the original and metaphorical butterfly effects. The Special Issue also sought recent developments in idealized Lorenz models and real-world models that address multistability, multiscale predictability, and sensitivity. The call for papers was opened 15 months prior to the completion of the Special Issue and features nine selected papers. This editorial provides a brief review of Lorenz models, introduces the published papers, and summarizes each one of them. [ABSTRACT FROM AUTHOR]

The year 2024 marks the 125th anniversary of aspirin, still one of the most frequently used drugs worldwide. Despite its veritable age, it is still relevant in pharmacotherapy and its use has spread to new areas over time. Due to aspirin's multiple pharmacological actions unified in one single molecule (i.e., analgesic, antipyretic, anti-inflammatory, antithrombotic, and antiviral effects), it continues to attract considerable attention in the scientific community and is subject to intense basic and clinical research. In fact, recent results confirmed aspirin's potential role as an antiviral drug and as an agent that can block harmful platelet functions in inflammatory/immunological processes. These features may open up new horizons for this ancient drug. The future of aspirin looks, therefore, bright and promising. Aspirin is not yet ready for retirement; on the contrary, its success story continues. This 125th anniversary paper will concisely review the various therapeutic uses of aspirin with a particular emphasis on the latest research results and their implications (e.g., use as an antiviral agent). In addition, the reader is provided with future perspectives for this remarkable drug. [ABSTRACT FROM AUTHOR]

This paper seeks to investigate how commemorative practices, rituals, and holidays are invented, deployed, and recast for political and ideological purposes, to reinforce and sustain a particular narrative of national identity. It argues that the choice of particular moments of a country's past to be commemorated in calendars as national holidays and the way in which the collective past is preserved and remembered both reflect and articulate a country's vision of its present essence, of who its people are. Recognizing the link between the collective memory and national identity, the Iranian states before and after the 1979 revolution made a special effort to articulate their narrative of the past by commemorating a particular set of holidays and rituals. Viewing the calendar as a political artifact, this paper compares changes in the Iranian national calendars in the Pahlavi era (1925–1979) and the Islamic Republic (1979–2018). It examines the inclusion of new religious holidays and the removal of national days associated with the monarchy as well as the assignment of new meanings and celebratory practices to the old ones as the signifiers of a political maneuver to articulate a new shared public memory and narrative of identity since the 1979 revolution. It then examines two nationwide celebrations before and after the 1979 revolution, representing two state-sponsored, competing narratives of Iranian identity: firstly, the 2500-year celebration of the Persian Empire in 1953, and, secondly, the Ashura commemoration, a religious gathering dedicated to the remembrance of Shia Imams. These commemorations provided the state a unique political opportunity to present its own appraisal of the past and, in turn, national identity. [ABSTRACT FROM AUTHOR]

The Limits to Growth was a remarkable, and remarkably influential, model, book and concept published 50 years ago this year. Its importance is that it used, for essentially the first time, a quantitative systems approach and a computer model to question the dominant paradigm for most of society: growth. Initially, many events, and especially the oil crisis of the 1970s, seemed to support the idea that the limits were close. Many economists argued quite the opposite, and the later relaxation of the oil crisis (and decline in gasoline prices) seemed to support the economists' position. Many argued that the model had failed, but a careful examination of model behavior vs. global and many national data sets assessed by a number of researchers suggests that the model's predictions (even if they had not been meant for such a specific task) were still remarkably accurate to date. While the massive changes predicted by the model have not yet come to pass globally, they are clearly occurring for many individual nations. Additionally, global patterns of climate change, fuel and mineral depletion, environmental degradation and population growth are quite as predicted by the original model. Whether or not the world as a whole continues to follow the general patterns of the model may be mostly a function of what happens with energy and whether humans can accept constraints on their propensity to keep growing. [ABSTRACT FROM AUTHOR]