Digital Entrepreneurship: A review, research synthesis, and development of a framework

The global rise of digital technologies has ushered in a new era of entrepreneurship, fundamentally reshaping traditional business models and driving economic growth and innovation. Digital entrepreneurship is highly relevant today, as advances in technology and infrastructure provide numerous opportunities for entrepreneurs in the modern digital economy. This study maps and synthesizes the field of digital entrepreneurship using two methods: a bibliometric analysis of research articles to identify key clusters, and an umbrella review of peer-reviewed review papers to integrate prior syntheses. Together, these methods surface 13 core themes covering enablers, challenges, mediators, and outcomes in digital entrepreneurship. Based on these consolidated themes, this study proposes the Digital Entrepreneurship Ecosystem Model (DEEM)

A multi-objective framework for predicting public opinion trends on infectious diseases using NSGA-II and interval predictions

Predicting public opinion trends during major infectious disease outbreaks is critical for guiding effective public health responses. However, predicting public opinion remains challenging because it is influenced by socio-economic, psychological, and media factors. This paper presents a novel framework for predicting public opinion trends related to significant infectious diseases, with a focus on COVID-19 as a case study. The proposed framework identifies the key factors influencing public opinion development and enables both point and interval predictions. The framework uses information ecology theory and applies the NSGA-II algorithm to select the features that best drive public opinion trends. By incorporating this framework, accurate point forecasts are produced alongside prediction intervals, effectively quantifying the uncertainty inherent in public opinion dynamics. This approach minimizes the quality-driven loss function to generate precise prediction intervals, providing decision-makers with critical insights into public opinion fluctuations during epidemics. The results offer valuable, real-time public sentiment warnings, supporting timely and effective interventions in epidemic prevention and control efforts

Global Warming Affects the Pathogenesis of Important Fish Diseases in European Aquaculture

Global warming remains a neglected environmental challenge for the sustainability of primary production, particularly aquaculture, which is highly susceptible to the spread of established pathogens and the induction of emerging infectious diseases under warming conditions. Over the past decade, Europe has experienced dramatically high temperatures that may impact both farmed fish and their pathogens in a largely unpredictable manner. While, in general, warming may boost the rate of disease transmission and its virulence by increasing pathogens' fitness in weakened hosts, some diseases characteristic of cooler environments may become rare. Field data is still largely fragmented, but in vitro experiments reveal that almost 28 microbial diseases in European finfish farming could be facilitated by climate warming. Innovative mitigation tools, such as fish selective breeding, epigenetic programming, the development of new vaccines, and alternative treatments, may prove essential in coping with the effects of rising water temperatures on fish diseases in Europe

Judge and Jury Perceptions of Open Source Evidence

Open source evidence has come to play a central role for our ways of knowing about human rights violations and atrocity crimes. Yet, little is known about how judges and juries assess and evaluate such evidence. This chapter presents unique empirical insights from qualitative interviews with international judges, and from a fictional jury trial designed to explore lay factfinders’ perceptions of open source evidence. It examines the perceived limits of open source evidence, source credibility and source bias, and factfinders’ perceptions of the role of expert testimony. The chapter reveals that factfinders are conscious of the limits of open source evidence and emphasize the need for corroboration in view of those limits. They consider the source of open source evidence, and their potential bias, as important in their assessment of the evidence. Expert testimony is also seen as crucial, although questions remain about who qualifies as an expert and what kinds of expertise are required in a rapidly-evolving field

A quantitative methodology for systemic impact assessment of cyber threats in connected vehicles

The increasing integration of digital technologies in connected vehicles introduces cybersecurity risks that extend beyond individual vehicles, with the potential to disrupt entire transportation systems. Current practice (e.g., ISO/SAE 21434 TARA) focuses on threat identification and qualitative impact ratings at the vehicle boundary, with limited systemic quantification. This study presents a systematic, simulation-based methodology for quantifying the systemic operational and safety impacts of cyber threats on connected vehicles, evaluating cascading effects across the transport network. Three representative scenarios are examined: (I) telematics-induced sudden braking causing a cascading collision, (II) remote disabling on a motorway (M25) segment, and (III) a compromised Roadside Unit (RSU) spoofing Variable Speed Limit (VSL) and phantom lane closure messages to connected and automated vehicles (CAVs). The results highlight the potential for cascading safety incidents and systemic operational degradation, as evidenced by the defined systemic operational and safety vectors, factors that are insufficiently addressed in the current scope of the ISO/SAE 21434 standard, which primarily focuses on individual vehicle-level threats. The findings underscore the need to incorporate systemic evaluation into existing frameworks to enhance cyber resilience across connected vehicle ecosystems. The framework complements ISO/SAE 21434 by supplying quantitative, reproducible evidence for the impact rating step at a systemic scale, reducing assessor subjectivity and supporting policy and operations, enabling more data-driven evaluations of systemic cyber risks

Assessing the combined effect of gamma radiation and sulfate-reducing bacteria on copper corrosion for deep nuclear waste storage

Ensuring the integrity of barriers in geological disposal facilities (GDFs) is crucial for the long term storage of radioactive waste. Copper is considered as a promising canister material due to its corrosion resistance. This study examines the combined effects of external gamma radiation (14 and 28 kGy) and sulfate-reducing bacteria (SRB) on copper corrosion in highly compacted FEBEX bentonite. Results showed that gamma radiation significantly reduces SRB viability, suggesting that these bacteria are likely to remain inactive during the early centuries of GDF operation, when radiation is at its highest level. Microscopic and spectroscopic analyses identified copper oxides, particularly CuO, as the main corrosion products. Gamma radiation was found to delay microbial influenced corrosion by altering the microbial community structure and promoting salt precipitation, including copper sulfates. SRB facilitated the formation of biogenic copper sulfides in unirradiated or those minimally affected by radiation. These findings provide valuable insights into the role of SRB in copper corrosion, broadening our understanding of long-term GDF safety