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Ocean-related options for climate change mitigation and adaptation: A machine learning-based evidence map protocol
Get PDFBackgroundOcean-related options (OROs) to mitigate and adapt to climate change are receiving increasing attention from practitioners, decision-makers, and researchers. In order to guide future ORO development and implementation, a catalogue of scientific evidence addressing outcomes related to different ORO types is critical. However, until now, such a synthesis has been hindered by the large size of the evidence base. Here, we detail a protocol using a machine learning-based approach to systematically map the extent and distribution of academic evidence relevant to the development, implementation, and outcomes of OROs.MethodTo produce this systematic map, literature searches will be conducted in English across two bibliographic databases using a string of search terms relating to the ocean, climate change, and OROs. A sample of articles from the resulting de-duplicated corpus will be manually screened at the title and abstract level for inclusion or exclusion against a set of predefined eligibility criteria in order to select all relevant literature on marine and coastal socio-ecological systems, the type of ORO and its outcomes. Descriptive metadata on the type and location of intervention, study methodology, and outcomes will be coded from the included articles in the sample. This sample of screening and coding decisions will be used to train a machine learning model that will be used to estimate these labels for all the remaining unseen publications. The results will be reported in a narrative synthesis summarising key trends, knowledge gaps, and knowledge clusters
An interpretive structural modelling—analytic network process approach for analysing green entrepreneurship barriers
Get PDFEntrepreneurship is one of the issues that plays a key role in the economic growth and development of countries. This economic development and technological advancement have caused environmental damage, which has led entrepreneurs to move towards sustainable production and green entrepreneurship. There are, however, challenges and barriers in front of green entrepreneurs. Hence, this article aims to identify the barriers and challenges of green entrepreneurship in Iran and explore their Interactions and prioritization. To achieve this goal, two quantitative and qualitative approaches were used. In the qualitative approach, using the Fuzzy Delphi method and using expert opinions in this field, 16 factors were identified. In the quantitative phase, the ISM-ANP combination approach was used. First, Interpretive Structural Modeling (ISM) was used to analyze the Interactions between these factors. Finally, using the ISM output, the analytic network process (ANP) method was used to prioritize these barriers. The results showed that the factor of reducing budget allocations and investing in green entrepreneurship in the first priority and the factor of high investment costs in the last priority. Given that so far few studies have been conducted in Iran on the barriers to green entrepreneurship, this paper provides a basis for understanding the various factors that prevent the implementation of green entrepreneurship. Also the analysis of these barriers by using the ISM-ANP approach is a new attempt and important in the field green entrepreneurship
The causal revolution in biodiversity conservation
Get PDFCausal inference is needed to understand whether conservation is working. There is a substantial role for behavioural science, as interventions often depend on behaviour change. A focus on design over data, embracing mixed methods and support from funders will help to provide the evidence needed to reverse biodiversity loss
Social reproduction and contestation of racialized Roma exclusion: The role of civil society organizations in the Czech Republic
Get PDFAnti-Roma racism remains a persistent concern in numerous European countries. Despite sustained efforts by both the European Union and national governments over the past two decades to promote Roma inclusion, the effectiveness of these integration policies has largely been perceived as inadequate. This has been evident in the widespread exclusion experienced by Roma communities. Focusing on the Czech Republic, this article moves from examining state policies to the actions of civil society. In this context, the article explores the role played by Czech civil society organizations (CSOs) in both challenging and perpetuating racialized Roma exclusion. Building on Bourdieu’s concept of social habitus, this article expands it to a racialized social habitus framework. Through online interviews with CSOs and ethnographic fieldwork in four Czech cities, it explores the complex interplay between integration policies, civil society, and the racialized exclusion of the Czech Roma. The article illuminates how these organizations simultaneously contest and reinforce racialized perceptions of the Roma, thereby enriching scholarly dialogue on the complex dynamics of race and racism within civil society.<br/
Advanced Technologies for Next-Generation Passive Optical Networks
Get PDFThis paper provides an overview and recent advancement of emerging technologies including transceivers, flexibility features, optical sensing and physical layer securityfor next-generation passive optical networks (PON
First-principles study of lithium aluminosilicate glass scintillators
Get PDFRadiation sensors are an important enabling technology in several fields, such as medicine, scientific research, energy, defence, meteorology, and homeland security. Glass-based scintillators have been in use for more than 50 years and offer many benefits, including their ability to respond to different types of radiation, and to be readily formed into various shapes. There is, however, the prospect to develop new and improved glass scintillators, with low self-absorption, low refractive indices, and high radiative recombination rates. To investigate the factors limiting the improvement of glass scintillator properties, this work provides insight from atomic scale simulations of the cerium-doped lithium aluminosilicate (SiO2–Al2O3–MgO–Li2O–Ce2O3) glass scintillator system. Three glass compositions were studied using molecular dynamics and density functional theory to investigate the effect of the ratio Image ID:d3cp05576k-t1.gif (with RAl/M = [0.1, 0.8 and 1.2]) on the structural and electronic properties. For a ratio RAl/M > 1, it has been shown that glasses with increased polymerization allow for more effective incorporation of Ce3+ cations. The structural analysis also showed that the bond order of Al–O can be affected in the presence of a lithium-rich environment. Electronic density of states and Bader charge analysis indicate a decline in the population of localized trapping states with increasing RAl/M. This suggests a higher probability of radiative recombination which can increase the photon yield of these scintillators. These findings provide valuable guidance for optimizing Li-glasses in neutron detection systems by highlighting the intricate challenges
The impact of corporate governance on narrative disclosure tone: a machine learning approach
Get PDFPurpose: This study examines the influence of corporate governance indicators (CGIs) on the textual tone of nonfinancial firms in a developing economy.Design/Methodology: The data from 1250 annual reports of listed nonfinancial firms in Pakistan are collected for ten years. The narrative disclosure tone (NDT) is derived using the sentiment analysis of annual reports, resulting in six distinct NDT scores. The CGIs data are also extracted from the annual reports. The fixed effects model is used as the primary analytical tool, supplemented by machine learning-based linear regression. System GMM and two-stage least squares regressions are employed for robustness checks.Findings: The findings reveal that most CGIs significantly influence all six NDTs. These results align with the existing theoretical literature, except those related to audit committee independence and gender diversity.Research limitations/implications: The study is limited to the use of annual reports as a source of narrative disclosures. Future research might employ other sources, such as earning press releases and social media.Practical implications: Within the unique regulatory environment of Pakistan, the study offers insights for regulators to enhance the efficacy of independent directors, discourage concentrated ownership, and promote the inclusion of women in board subcommittees to establish the authenticity of textual disclosures.Originality/value: The study adds to the limited literature on the determinants of NDT. It underscores the importance of understanding textual tone for informed investor decision-making and restoring investor confidence. Moreover, it contributes by focusing on six NDTs and exploring the interplay between CGIs and textual tone.<br/