208 research outputs found
Navigating the World of Cryptocurrencies: Technology, Economics, Regulations, and Future Trends
No full textThis book is a thorough exploration of the digital currency realm, designed for both newcomers and seasoned enthusiasts. The book offers an in-depth analysis of the multifaceted world of cryptocurrencies, covering technological, economic, regulatory, and social aspects. It provides a foundational understanding of cryptocurrencies, their origins, and how they differ from traditional currencies. The author illustrates the mechanics of blockchain technology, explaining how it ensures security, transparency, and decentralization in digital transactions. The book discusses the development of central bank digital currencies and their potential to transform the financial system. The author examines how governments are responding to the rise of private cryptocurrencies by developing their own digital currencies. Furthermore, the book explores the broader implications of digital currencies on society and the environment, including issues related to energy consumption, digital inclusion, and the potential for financial empowerment. This work is an essential resource for understanding the complex and dynamic world of cryptocurrencies, offering valuable insights for academics, professionals, and enthusiasts alike
Evidence of estrogen modulation on memory processes for emotional content in healthy young women
No full textPurpose: It is well accepted that emotional content can affect memory, interacting with the encoding and consolidation processes. The aim of the present study was to verify the effects of estrogens in the interplay of cognition and emotion.
Methods: Images from the International Affective Pictures System, based on valence (pleasant, unpleasant and neutral), maintaining arousal constant, were viewed passively by two groups of young women in different cycle phases: a periovulatory group (PO), characterized by high level of estrogens and low level of progesterone, and an early follicular group (EF), characterized by low levels of both estrogens and progesterone. The electrophysiological responses to images were measured, and P300 peak was considered. One week later, long-term memory was tested by means of free recall.
Findings: Intra-group analysis displayed that PO woman had significantly better memory for positive images, while EF women showed significantly better memory for negative images. The comparison between groups revealed that women in the PO phase had better memory performance for positive pictures than women in the EF phase, while no significant differences were found for negative and neutral pictures. According to the free recall results, the subjects in the PO group showed greater P300 amplitude, and shorter latency, for pleasant images compared with women in the EF group.
Conclusion: Our results showed that the physiological hormonal fluctuation of estrogens during the menstrual cycle can influence memory, at the time of encoding, during the processing of emotional information
Physiological relevance of estrogen effects on memory across the menstrual cycle of young women
No full textAI and Chatbots in FinTech: Revolutionizing Digital Experiences and Predictive Analytics
No full textThis book is a comprehensive guide to the use of Artificial Intelligence (AI) in the Financial Technology (FinTech) industry. It is comprised of ten chapters, each addressing a specific aspect of AI in FinTech. The reader is introduced to AI in FinTech, including its history and current state and the role of chatbots in FinTech and how they are used to improve customer service. Furthermore, the book explores the business framework of AI-based ChatGPT in FinTech, including the technology behind ChatGPT and how it can be applied to various financial sectors. The book examines the use of predictive analytics and machine learning in FinTech, highlighting how these tools are used to predict customer behavior and improve decision-making. The author delves into how ChatGPT is used to determine buying behavior and discusses the use of machine learning to reshape the digital experience in FinTech. Additionally, the book provides best practices for retaining customers in FinTech, including how to use AI to create personalized experiences that keep customers coming back, and explores the different applications of predictive models in FinTech, including how they are used to improve risk management and fraud detection. Lastly, the book discusses the use of ChatGPT for stock price prediction and the detection of financial fraud and examines the role of ChatGPT in the world of cryptocurrency, including how it can be used to make informed investment decisions. Overall, this book provides a comprehensive overview of the different ways AI is being used in FinTech and the potential it holds for improving customer experiences and driving innovation in the financial industry
Sustainable Finance for Maritime Development: A Critical Analysis of Green Bonds in the National Recovery and Resilience Plan
No full textThis chapter started from an observation by Awaworyi (2017) according to which: “the achievement of a green economy requires a stable and growing financial system”. Particularly, it focuses on green bonds which, within the European Union, from the very early stages of drafting the post-COVID-19 recovery plan, has been attributed to a crucial role in achieving the objectives of the ecological transition.
The research objective is twofold:
(1)
From the scientific point of view, in the context of sustainable finance, it provided an analysis of the literature on the main char-acteristics of green bonds highlighting the differences respect to conventional bonds and the effects of this new approach to finance on the decision-making and strategic process of individual investors and the business models of bank intermediaries,
(2)
For providing an application useful for all stakeholders involved in the maritime supply chain, it proposed an empirical reflection on the implementation of green finance to cold ironing technology in the maritime transport sector
Response to Savic et al. on: Inter-assessor Agreement for TREXMO and Its Models Outside the Translation Framework
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Innovation in the Rural Areas and the Linkage with the Quintuple Helix Model
No full textAbstractIn this paper we analyze some specific conditions for local development. Our interest is oriented towards a multidimensional aspect of peripheral and rural areas. The rural areas considered as a productive system reflects a strong relationship between the agriculture and the other economic activities, In addition eco-systems must be protected and enhanced to develop innovation models that propose new roles and responsibilities for a new development vision. Following the implementation of the Smart Specialization Strategy and the Quintuple Helix Model this paper underlines the importance of connecting the innovation process with rural territories. We have considered some environmental and sectorial indicators for Sicily compared with the rest of Italy, to underline the role of peripheral areas for a new style of competitiveness based on the principles of sustainable development
Giorgio Bassani redattore: «Botteghe Oscure» e «Paragone-Letteratura». Il carteggio inedito con Mario Luzi e il caso del Taglio del bosco di Cassola.
No full textNel presente lavoro di tesi si indaga sulla figura di Giorgio Bassani come redattore di due periodici letterari: «Botteghe Oscure» e «Paragone-Letteratura». Importante personalità del Novecento letterario, questo studio ha lo scopo di mettere in luce il suo lavoro da redattore svolto tra il 1948 e il 1970. Attraverso lo scambio di epistole inedite con Mario Luzi - trascritte e spiegate - si è indagato il suo modus operandi. Le lettere inedite ricevute da Carlo Cassola danno un'importante notizia: Taglio del bosco di Cassola è stato affidato alla direttrice della rivista Paragone da Bassani. Dunque, è in parte merito suo se nel 1950 il racconto è stato pubblicato, riscuotendo successo.
This thesis work investigates the figure of Giorgio Bassani as editor of two literary periodicals: «Botteghe Oscure» and «Paragone-Letteratura». Important personality of the literary twentieth century, this work aims to highlight the work as an editor carried out between 1948 and 1970. Through the exchange of unpublished letters with Mario Luzi - transcribed and explained - it was possible to investigate the his modus operandi. The unpublished letters received by Carlo Cassola give important news: cutting of the Cassola forest has been entrusted to the director of the magazine Paragone by Bassani. Therefore, it is partly thanks to him that in 1950 the story was published, enjoying success
Electrophysiological and Behavioral Indices of the Role of Estrogens on Memory Processes for Emotional Faces in Healthy Young Women
No full textIt is well known that estrogens influence cognitive activities, such as memory, and emotional states. The objective of the present study was to investigate the role of estrogens in the short-term memory processing of basic emotional face expressions, by means of event-related potentials (ERPs) and a recognition memory (RM) behavioral task. Healthy young women were divided into a periovulatory (PO) group, characterized by high levels of estrogens and low levels of progesterone, and an early follicular (EF) group, characterized by low levels of both estrogens and progesterone. During the RM task, all subjects viewed images of faces expressing six basic emotions (happiness, anger, disgust, sadness, surprise, fear) and one neutral expression while their electrophysiological activity was recorded. We considered P300 components, amplitude, and latency in response to each stimulus. Soon after the presentation of each stimulus face, a target image was presented, consisting of two faces, one of which was the same, while the other was a chimerical face, obtained by mixing the upper or lower halves of the faces of the stimulus image with a different emotion. The subjects had to choose between the two alternatives, and the reaction time (RT) and accuracy of response (RM errors) were measured. The main findings of this study showed that P300 amplitudes are significantly higher in response to the expressions of happiness, but significantly lower for sadness, in PO compared to EF. The P300 data are consistent with performance in the RM task and with the measures of RT. The interest in the emotion of happiness, unlike sadness, during the PO phase may reflect the evolutionary significance of female sex hormones linked to mating behavior
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