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Commodity market stability and sustainable development: The effect of public health policies
Get PDFThis study explores the influence of public health policies on commodity market volatility during public health emergencies, such as pandemics, using data from China and the US. We investigate how stringent public health measures can mitigate the effects of pandemics on the stability of commodity markets by stabilizing domestic demand and supply of natural resources. Our findings highlight the interconnectedness between commodity market stability and oil production, showing that firms increase their oil inventories in response to oil market volatility as a precautionary measure. This action, in turn, affects the amount of oil available for production, impacting oil consumption and extraction rates. We demonstrate that stability in the oil market significantly influences not only oil consumption but also has broader implications for sustainable development, green asset markets, and carbon emissions
Spillover Dynamics in DeFi, G7 Banks, and Equity Markets During Global Crises: A TVP-VAR Analysis
Get PDFDecentralized finance (DeFi) has become of significant interest for investors in both the financial and digital sectors. We use a time-varying parameter vector autoregression (TVP-VAR) approach to estimate the static and dynamic connections between and within DeFi, G7 banking, and equity markets. We focus on critical events such as the COVID-19 pandemic, the cryptocurrency bubble, and the Russia-Ukraine conflict. The results highlight interconnectedness and significant spillovers within and between the markets, especially during the COVID-19 pandemic. Notably, there were significant spillover effects from the G7 banking and equity markets to Japan and DeFi assets. The findings demonstrate a robust connection between DeFi platforms, G7 banking, and stock markets throughout these tumultuous periods. Policymakers, investors, and entrepreneurs are recommended to keep a close eye on changes in traditional banking and equity markets to adjust the risk of DeFi assets
To move or not to move: A review of residential relocation trends after COVID-19
Get PDFThe restrictions imposed during the COVID-19 pandemic have led to significant changes in travel behaviour and public activities, and they might have contributed to changes in residential location choices. However, research examining the relationship between residential location choice and COVID-19 is very limited. To that end, this paper focuses on how pandemic-induced changes in work patterns, travel preferences and daily activity patterns have altered residential preferences and potentially, relocation trends. The main determinants of residential location choice have been established in the literature over the past 30 years: physical attributes of the dwelling; surrounding built environment; affordability; and accessibility to transportation, workplaces, and services. However, each of these determinants are prioritised differently depending on the circumstances. Therefore, exploring how these priorities have shifted after the pandemic can pave the way for understanding how preferences for residential location choice shift as a consequence. From the review, the key findings include the decreasing importance of transport and workplace accessibility in residential location choice after the pandemic. Firstly, teleworking is becoming more prevalent within office jobs than before the pandemic, leading to less frequent trips to conventional workplaces, reducing the need to live within a commutable distance to a workplace. Secondly, trips to other activities have likewise become less frequent due to either remote alternatives (e.g., online shopping) or shifting towards services closer to home, reducing the need to travel in general. Another consequence of the pandemic is people staying at home longer than before, thus increasing the need for more desirable dwelling attributes such as larger house size and wider surrounding green space. Since these attributes are generally more affordable in areas less accessible to transport and services, this may subsequently lead to migrations to areas of lower population density, potentially decentralising urban areas
Twenty-First Century Fictions of Terrorism
No full textExamining novels by celebrated authors, some neglected and some brand new texts, Arin Keeble offers a detailed analysis of the ways novels from around the world have represented terrorism in the early twenty-first century. Over five chapters, he uncovers a movement away from event-based narratives toward depictions of terrorism as a violent symptom or feature of twenty-first century world-systems and neoliberalism. Beginning with the early literary response to 9/11 and the 9/11 novel genre, the book moves through more recent depictions of the endless ‘war on terror’, state terror, white nationalist terror and historical narratives of terror that resonate in the current political climate. In doing so, it examines the changing ways literature has sought to make sense of both the reasons why terrorism occurs and the effects it has on victims, survivors and international and intercultural relation
Institutionalising restorative justice for adults in Scotland: An empirical study of criminal justice practitioners’ perspectives
Get PDFWhile in some European and extra-European countries the incorporation of restorative justice into policy frameworks is a dated and widely studied phenomenon, in others it is a more recent and scarcely researched process. The Scottish Government is making renewed efforts to institutionalise restorative justice including the ambitious goal of making adult restorative justice available nationwide by 2023. In this article, we analyse the consequences of these recent attempts, addressing a gap in knowledge on adult restorative justice in Scotland. We gathered views from justice professionals (n = 17), involved in organising and delivering adult restorative justice, on the implementation of the policy and the future of Scottish restorative justice. Findings show that participants support expanding restorative justice services, but are sceptical about the Scottish Government’s approach. They advocate for a coordinated but locally sensitive model of restorative justice development, to some extent challenging the stark opposition between ‘purist’ and ‘maximalist’ approaches to the expansion of restorative justice. These findings generate evidence to critically assess Scottish restorative justice policy and its implementation, while drawing implications for the development of restorative justice across Europe
Thermo-Environ-Economic Optimization of an Integrated Combined-Cycle Power Plant Based on a Multi-objective Water Cycle Algorithm
Get PDFThe integration of power plants and desalination systems has attracted increasing attention over the past few years as an effective solution to tackle sustainable development and climate change issues. In this light, this paper introduces a novel modelling and optimization approach for a combined-cycle power plant (CCPP) integrated with reverse osmosis (RO) and multi-effect distillation (MED) desalination systems. The integrated CCPP and RO–MED desalination system is thermodynamically modelled utilizing MATLAB and EES software environments, and the results are validated via Thermoflex software simulations. Comprehensive energy, exergic, exergoeconomic, and exergoenvironmental (4E) analyses are performed to assess the performance of the integrated system. Furthermore, a new multi-objective water cycle algorithm (MOWCA) is implemented to optimize the main performance parameters of the integrated system. Finally, a real-world case study is performed based on Iran's Shahid Salimi Neka power plant. The results reveal that the system exergy efficiency is increased from 8.4 to 51.1% through the proposed MOWCA approach, and the energy and freshwater costs are reduced by 8.4% and 29.4%, respectively. The latter results correspond to an environmental impact reduction of 14.2% and 33.5%. Hence, the objective functions are improved from all exergic, exergoeconomic, and exergoenvironmental perspectives, proving the approach to be a valuable tool towards implementing more sustainable combined power plants and desalination systems
Selective Query Processing: A Risk-Sensitive Selection of Search Configurations
Get PDFIn information retrieval systems, search parameters are optimized to ensure high effectiveness based on a set of past searches and these optimized parameters are then used as the system configuration for all subsequent queries. A better approach, however, would be to adapt the parameters to fit the query at hand. Selective query expansion is one such an approach, in which the system decides automatically whether or not to expand the query, resulting in two possible system configurations. This approach was extended recently to include many other parameters, leading to many possible system configurations where the system automatically selects the best configuration on a per-query basis. One problem with this approach is the system training which requires evaluation of each training query with every possible configuration. In real-world systems, so many parameters and possible values must be evaluated that this approach is impractical, especially when the system must be updated frequently, as is the case for commercial search engines. In general, the more configurations, the greater the effectiveness when configuration selection is appropriate but also the greater the risk of decreasing effectiveness in the case of an inappropriate configuration selection. To determine the ideal configurations to use on a per-query basis in real-world systems we developed a method in which a restricted number of possible configurations is pre-selected and then used in a meta-search engine that decides the best search configuration on a per query basis. We define a risk-sensitive approach for configuration pre-selection that considers the risk-reward trade-off between the number of configurations kept, and system effectiveness. We define two alternative risk functions to apply to different goals. For final configuration selection, the decision is based on query feature similarities. We compare two alternative risk functions on two query types: ad hoc and diversity and compare these to more sophisticated machine learning-based methods. We find that a relatively small number of configurations (20) selected by our risk-sensitive model is sufficient to obtain results close to the best achievable results for each query. Effectiveness is increased by about 15% according to the P@10 and nDCG@10 evaluation metrics when compared to traditional grid search using a single configuration and by about 20% when compared to learning to rank documents. Our risk-sensitive approach works for both diversity- and ad hoc-oriented searches. Moreover, the similarity-based selection method outperforms the more sophisticated approaches. Thus, we demonstrate the feasibility of developing per-query information retrieval systems, which will guide future research in this direction
Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization
Get PDFEdge computing nodes undertake more and more tasks as business density grows. How to efficiently allocate large-scale and dynamic workloads to edge computing resources has become a critical challenge. An edge task scheduling approach based on an improved Double Deep Q Network (Double DQN) is proposed in this paper. The Double DQN is adopted to separate the calculation of the target Q value and the selection of the action for the target Q value in two networks, and a new reward function is designed. Furthermore, a control unit is added to the experience replay unit of the agent. The management methods of experience data are modified to fully utilize the value of experience data and improve learning efficiency. Reinforcement learning agents usually learn from an ignorant state, which is inefficient. Therefore, a novel particle swarm optimization algorithm with an improved fitness function is proposed, which can generate optimal solutions for task scheduling. These optimized solutions are provided for the agent to pre-train network parameters, which allows the agent to get a better cognition level. The proposed algorithm is compared with the other six methods in simulation experiments. Results show that the proposed algorithm outperforms other benchmark methods regarding makespan
Priorities to inform research on tire particles and their chemical leachates: A collective perspective
Get PDFConcerns over the ecological impacts of urban road runoff have increased, partly due to recent research into the harmful impacts of tire particles and their chemical leachates. This study aimed to help the community of researchers, regulators and policy advisers in scoping out the priority areas for further study. To improve our understanding of these issues an interdisciplinary, international network consisting of experts (United Kingdom, Norway, United States, Australia, South Korea, Bangladesh, Finland, Austria, China and Canada) was formed. We synthesised the current state of the knowledge and highlighted priority research areas for tire particles (in their different forms) and their leachates. Ten priority research questions with high importance were identified under four themes (environmental presence and detection; chemicals of concern; biotic impacts; mitigation and regulation). The priority research questions include the importance of increasing the understanding of the fate and transport of these contaminants; better alignment of toxicity studies; obtaining the holistic understanding of the impacts; and risks they pose across different ecosystem services. These issues have to be addressed globally for a sustainable solution. We highlight how the establishment of the intergovernmental science-policy panel on chemicals, waste, and pollution prevention could further address these issues on a global level through coordinated knowledge transfer of car tire research and regulation. We hope that the outputs from this research paper will reduce scientific uncertainty in assessing and managing environmental risks from TWP and their leachates and aid any potential future policy and regulatory development
Midwives’ readiness for midwife-led care: a mixed-methods study
Get PDFBackground/Problem To integrate midwife-led care in Belgian maternity services, understanding whether midwives are primed of executing the change is needed. Aim To explore Belgian midwives’ readiness for midwife-led care and understand the underlying processes. Methods A mixed-methods sequential study: 1) A survey including 414 practising midwives and 2) individual interviews with 12 (student) midwives. General linear model analysis was used to examine the trend between knowledge, self-efficacy and performance mean scores - indicators of midwife-led care readiness - proposed in a 27-item questionnaire. The Readiness Assessment Framework served as a template for qualitative thematic analysis. Findings Template analysis illustrated the underlying mechanisms of midwifery-led care readiness: Governmental and institutional steering and rule-making functions, regulation and reimbursement, awareness of midwife-led care among stakeholders, capacity to extend primary care postpartum services to antenatal and intrapartum care and healthcare professionals’ lack of awareness of available data of women’s experiences and midwife-led care efficacy in Belgium. These qualitative findings contribute to the understanding of the significant trend with decreasing function for knowledge, self-efficacy and performance mean scores of 25 midwife-led care readiness indicators, and the two non-significant indicators referring to a physiological postpartum period. Discussion/Conclusion In determining midwife readiness for midwife-led care, we observed adequate knowledge mean scores, associated with low self-efficacy and even lower midwife-led care performance mean scores. Our findings suggest limited readiness for MLC in antenatal and intrapartum care. Belgian midwives are the domain experts of postpartum services but face challenges in extending midwife-led care to antenatal and intrapartum services
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