Nigeria plays important roles in the overall socio-economic development of the entire African continent, including entrepreneurial activities. There is a less focus on the immersion of women and youths in playing participatory roles in digital entrepreneurship and digital technology innovation in order to boost the economic growth of the country. The primary objective of this study is to explore women and youths’ immersion, specifically in connection with digital entrepreneurship and digital technology innovation, for the purpose of fostering the growth of the economy. The methodology employed in this study is Critical Content Analysis (CCA) of cursory literature as an integral part of the qualitative method. The literature was sourced through different databases, such as library sources, journals, and the core collection of Web of Science (WOS), and the collections of studies used for analysis were between 2018 and 2023. The results demonstrated that small and medium enterprises (SMEs) play significant roles in digital entrepreneurship activities in the country. In addition, there are various entrepreneurship programmes in the country, such as the Youth Entrepreneurship Development Programme (YEDP), and there is awareness of the effectiveness and efficiency of digital entrepreneurship. In addition, the result further established that the use of digital technology is an important innovation for the success of digital entrepreneurship in the country. The study further indicated that five factors of women and youths’ immersion in entrepreneurship (perception and opportunities, business performance, digital adoption, skill acquisition, and enabling environment) can boost the growth of the economy in the country. In conclusion, the knowledge and skills of entrepreneurs are major drivers of wealth and job creations, with women and youths playing an active role in the overall entrepreneurship programmes. It is suggested that the stakeholders and actors in entrepreneurship should collaborate to foster the participation of women and youths in entrepreneurship programmes in the country.

This research paper aims to explore the issue of university dropouts in Greece, which has become a growing concern in recent years due to its impact on individuals, educational institutions, and society as a whole. One of the main contributing factors to students discontinuing their higher education in Greece is the choice of the wrong faculty. Financial challenges, unrelated to tuition fees, also significantly affect students’ ability to pursue their studies. Family background plays a crucial role, with students from families with higher educational attainment exhibiting greater persistence. The study found that gender, age, and academic performance can influence students’ perceptions of dropout factors, which can change as they progress through their educational journey. To address these challenges, the research proposes a multifaceted approach, including early intervention programs, expanded financial support, improved mental health and counseling services, flexible learning options, and strong academic advising.

The rapid expansion of smart cities has led to the widespread deployment of Internet of Things (IoT) devices for real-time data collection and urban optimization. However, these interconnected systems face critical cybersecurity risks, including data tampering, unauthorized access, and privacy breaches. This paper proposes a blockchain-based framework designed to enhance the security, integrity, and resilience of IoT data in smart city environments. Leveraging a private blockchain, the system ensures decentralized, tamper-proof data storage, and transaction verification through digital signatures and a lightweight Proof of Work consensus mechanism. Smart contracts are employed to automate access control and respond to anomalies in real time. A Python-based simulation demonstrates the framework’s effectiveness in securing IoT communications. The system supports rapid transaction validation with minimal latency and enables timely detection of anomalous patterns through integrated machine learning. Evaluations show that the framework maintains consistent performance across diverse smart city components such as transportation, healthcare, and building security. These results highlight the potential of the proposed solution to enable secure, scalable, and real-time IoT ecosystems for modern urban infrastructures.

The rise of fintech in the financial sector presents a transformative shift towards digitalisation and sustainability on a global scale, leveraging technologies like AI to minimise environmental footprint. Neobanks not only challenge traditional banking models but also offer innovative solutions that align with sustainable objectives. The purpose of this paper is to analyse the impact of neobanks on global sustainability from economic, environmental, and social points of view. A comprehensive literature review of existing literature and current sustainable practices of neobanks was conducted. Results reveal that neobanks significantly positively contribute towards environmental sustainability with reduced paper use and logistics requirements of banking services. By offering more accessible and affordable banking services they importantly contribute towards higher financial inclusion, and with innovative products towards more competitive and innovative financial markets. AI-based tools they employ are increasing financial literacy and social inclusion. This article also highlights concerns regarding electronic waste management, potential high energy consumption, required digital literacy and cybersecurity risks. In conclusion, despite the mentioned risks, neobanks importantly contribute to global sustainability in many ways and will even more in the future. These findings can help neobanks shape sustainable practices and guide policymaking, as well as spread awareness of the sustainable impact of banking services.

Fintech as a three-dimensional phenomenon reflects the rapidly changing technological, financial and business environment. The bibliometric analysis of scientific articles allowed us to identify the main themes and create a map of the field of fintech influences. Systematization of scientific articles revealed the influence of economic development and socio-demographic inequality on fintech development. Government regulatory policies can accelerate the digitisation of financial services and financial inclusion and help the fintech sector face geopolitical challenges. Fintech’s impact was divided into three areas: financial stability and sustainable development, the business ecosystem and human behaviour. The research we summarised allowed us to identify the mechanisms through which fintech influences various fields. A complex approach to the influence of fintech enables us to understand the phenomenon and make better decisions.

Fire hazard is often mapped as a static conditional probability of fire characteristics’ occurrence. We developed a dynamic product for operational risk management to forecast the probability of occurrence of fire radiative power in the locally possible near-maximum fire intensity range. We applied standard machine learning techniques to remotely sensed data. We used a block maxima approach to sample the most extreme fire radiative power (FRP) MODIS retrievals in free-burning fuels for each fire season between 2001 and 2020 and associated weather, fuel, and topography features in northwestern south America. We used the random forest algorithm for both classification and regression, implementing the backward stepwise repression procedure. We solved the classification problem predicting the probability of occurrence of near-maximum wildfire intensity with 75% recall out-of-sample in ten annual test sets running time series cross validation, and 77% recall and 85% ROC-AUC out-of-sample in a twenty-fold cross-validation to gauge a realistic expectation of model performance in production. We solved the regression problem predicting FRP with 86% r² in-sample, but out-of-sample performance was unsatisfactory. Our model predicts well fatal and near-fatal incidents reported in Peru and Colombia out-of-sample in mountainous areas and unimodal fire regimes, the signal decays in bimodal fire regimes.