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We have come to a point where the common way to characterise what is taking place presently, or, better yet, for the past almost two years, is with the term ‘pandemic’. The task of this chapter is to bring to awareness certain critical reflections with the hope of disturbing the normalised discourse which excepts the authentic meaning of pandemic, a meaning which affects the totality of the human existence. Following the thoughts of Agamben, Baudrillard, and Heidegger, the hypothesis that this chapter is advancing revolves around the idea that the term ‘pandemic’ has been appropriated by biological thinking excepting its authentic meaning, that is, the ultimate reality of the human existence which is death.

The rule of law has been tried in many countries under the state of exception during COVID-19. This chapter focusses on the case of Finland, the only Nordic country to declare a state of exception during the pandemic. Drawing from theoretical accounts on the state of exception, it analyses to what extent the Finnish democratic Rechtsstaat has coped in the state of exception.

The authors propose the concepts of a radical and restrained state of exception and argue that while the Finnish states of exception were rather restrained than radical, there are risks involved in the fact that powers granted by the Emergency Powers Act to be used during a state of exception are moved to normal legislation. Indeed, as Giorgio Agamben, among others, has warned, the state of exception may become permanent and undermine democracy and the rule of law. The chapter provides a dialogue between theory and empirics related to a state of exception, applying theoretical insights on the case of Finland during COVID-19.

The purpose of this chapter is to present a brief overview about the measures adopted in Portugal in the context of the Coronavirus pandemic. This public health crisis gave room in two separate occasions for the declaration of a state of emergency. What is interesting, though, is that it can be argued that a real state of exception occurred not when the state of emergency was in force, but precisely when it was not. This has only been possible because the Government decided to adopt measures that would restrict fundamental rights, because the Parliament did not intervene in such a proceeding, and because the Administrative Supreme Court was arguably too lenient towards the Government. For a while at least, it seems to have occurred a ‘provisional abolition of the distinction among legislative, executive and judicial powers’ (Agamben, 2005). This has been confirmed by subsequent decisions from the Constitutional Court.

Smart contracts are written in high-level programming languages, compiled into Ethereum Virtual Machine (EVM) bytecode, deployed onto blockchain systems and called with the corresponding address by transactions. The deployed smart contracts are immutable, even if there are bugs or vulnerabilities. Therefore, it is critical to verify smart contracts before deployment. This paper aims to help developers effectively and efficiently locate potential defects in smart contracts.

GethReplayer, a smart contract testing method based on transaction replay, is proposed. It constructs a parallel transaction execution environment with two virtual machines to compare the execution results. It uses the real existing transaction data on Ethereum and the source code of the tested smart contacts as inputs, conditionally substitutes the bytecode of the tested smart contract input into the testing EVM, and then monitors the environmental information to check the correctness of the contract.

Experiments verified that the proposed method is effective in smart contract testing. Virtual environmental information has a significant effect on the success of transaction replay, which is the basis for the performance of the method. The efficiency of error locating was approximately 14 times faster with the proposed method than without. In addition, the proposed method supports gas consumption analysis.

This paper addresses the difficulty that developers encounter in testing smart contracts before deployment and focuses on helping develop smart contracts with as few defects as possible. GethReplayer is expected to be an alternative solution for smart contract testing and provide inspiration for further research.

Even before the global pandemic crisis, cosmopolitanism was regarded as ‘a noble but flawed ideal’. A moral perspective, despite the efforts of theorists who worked towards cosmopolitan democracy, has little impact on the larger political landscape. After a full year of ‘social distancing’ that transformed our world, the question arises – what will happen to the idea that so strongly relies on human commonality, togetherness, and sociability if all those features are severely lacking in our everyday lives? Will this prolonged ‘state of exception’ redesign our society and our political arrangements in such a manner that the idea of cross-border solidarity becomes not just unattainable, but utterly unimaginable? Will the global society remain just a dream from some earlier, more naïve times? Or is it still possible to be a cosmopolitan, ‘a king of infinite space’, even when we are forcefully sequestered in our tiny nutshells? The chapter will confront this changing socio-political landscape in order to provide an examination of changes in the cosmopolitan idea in general – and probably to give a little hope for an uncertain future.

The role of construction industry in harnessing human and material resources of a nation cannot be overemphasised; hence, the emergence of the requirement of leadership. This study aims to assess the usage of factors of transactional leadership style (TSLS) by the project managers (PMs) in the Nigeria construction industry.

A survey research design approach with questionnaire as an instrument of gathering data was adopted. Out of 1,233 questionnaires distributed, data from 975 received with acceptable feedback were analysed using both descriptive and inferential statistics.

This study revealed the following factors under active management by exception as the TSLS factors often employed by PMs in Nigeria. These factors are the three frequently used factors: they are: “always give clear and final instructions to be implemented in the project”; “always observed the progress of the project, assessed risk and took precaution to avoid mistakes in the project”; and “always closely monitor performance for errors needing correction”. This study concludes that it is imperative for PMs in the study area to adopt and incorporate these factors to ensure continuous successful delivery of construction projects.

Therefore, it is hoped that the findings of this research will help the construction industry managers to address the age-long but unrecognised leadership problem confronting the sector, thereby boosting project delivery.

The findings establish the appropriateness or otherwise of adoption of factors of transactional leadership, either in part or a whole.

This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations of these models in handling temporal information in financial time series.

Employing a robust methodological framework, the study systematically compares a range of Transformer models, including first-generation and advanced iterations like Informer, Autoformer, and PatchTST, against benchmark models (HAR, NBEATSx, NHITS, and TimesNet). The evaluation encompasses 80 different stocks, four error metrics, four statistical tests, and three robustness tests designed to reflect diverse market conditions and data availability scenarios.

The research uncovers that while first-generation Transformer models, like TFT, underperform in financial forecasting, second-generation models like Informer, Autoformer, and PatchTST demonstrate remarkable efficacy, especially in scenarios characterized by limited historical data and market volatility. The study also highlights the nuanced performance of these models across different forecasting horizons and error metrics, showcasing their potential as robust tools in financial forecasting, which contradicts the findings of Zeng et al. (2023)

This paper contributes to the financial forecasting literature by providing a comprehensive analysis of the applicability of Transformer-based models in this domain. It offers new insights into the capabilities of these models, especially their adaptability to different market conditions and forecasting requirements, challenging the existing skepticism created by Zeng et al. (2023) about their utility in financial forecasting.