9,655 research outputs found

    Efectos de un nuevo nutracéutico basado en aceite de oliva virgen extra, aceite de algas y extracto de hojas de olivo sobre las alteraciones metabólicas y cardiovasculares asociadas al envejecimiento

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    Tesis Doctoral inĂ©dita leĂ­da en la Universidad AutĂłnoma de Madrid, Facultad de Medicina, Departamento de FisiologĂ­a. Fecha de Lectura: 23-07-2021Esta tesis tiene embargado el acceso al texto completo hasta el 23-01-2023Este trabajo de investigaciĂłn ha sido financiado por la beca “Doctorados Industriales 2017” (IND2017/BIO7701) de la Comunidad de Madri

    The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions

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    The Metaverse offers a second world beyond reality, where boundaries are non-existent, and possibilities are endless through engagement and immersive experiences using the virtual reality (VR) technology. Many disciplines can benefit from the advancement of the Metaverse when accurately developed, including the fields of technology, gaming, education, art, and culture. Nevertheless, developing the Metaverse environment to its full potential is an ambiguous task that needs proper guidance and directions. Existing surveys on the Metaverse focus only on a specific aspect and discipline of the Metaverse and lack a holistic view of the entire process. To this end, a more holistic, multi-disciplinary, in-depth, and academic and industry-oriented review is required to provide a thorough study of the Metaverse development pipeline. To address these issues, we present in this survey a novel multi-layered pipeline ecosystem composed of (1) the Metaverse computing, networking, communications and hardware infrastructure, (2) environment digitization, and (3) user interactions. For every layer, we discuss the components that detail the steps of its development. Also, for each of these components, we examine the impact of a set of enabling technologies and empowering domains (e.g., Artificial Intelligence, Security & Privacy, Blockchain, Business, Ethics, and Social) on its advancement. In addition, we explain the importance of these technologies to support decentralization, interoperability, user experiences, interactions, and monetization. Our presented study highlights the existing challenges for each component, followed by research directions and potential solutions. To the best of our knowledge, this survey is the most comprehensive and allows users, scholars, and entrepreneurs to get an in-depth understanding of the Metaverse ecosystem to find their opportunities and potentials for contribution

    A Design Science Research Approach to Smart and Collaborative Urban Supply Networks

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    Urban supply networks are facing increasing demands and challenges and thus constitute a relevant field for research and practical development. Supply chain management holds enormous potential and relevance for society and everyday life as the flow of goods and information are important economic functions. Being a heterogeneous field, the literature base of supply chain management research is difficult to manage and navigate. Disruptive digital technologies and the implementation of cross-network information analysis and sharing drive the need for new organisational and technological approaches. Practical issues are manifold and include mega trends such as digital transformation, urbanisation, and environmental awareness. A promising approach to solving these problems is the realisation of smart and collaborative supply networks. The growth of artificial intelligence applications in recent years has led to a wide range of applications in a variety of domains. However, the potential of artificial intelligence utilisation in supply chain management has not yet been fully exploited. Similarly, value creation increasingly takes place in networked value creation cycles that have become continuously more collaborative, complex, and dynamic as interactions in business processes involving information technologies have become more intense. Following a design science research approach this cumulative thesis comprises the development and discussion of four artefacts for the analysis and advancement of smart and collaborative urban supply networks. This thesis aims to highlight the potential of artificial intelligence-based supply networks, to advance data-driven inter-organisational collaboration, and to improve last mile supply network sustainability. Based on thorough machine learning and systematic literature reviews, reference and system dynamics modelling, simulation, and qualitative empirical research, the artefacts provide a valuable contribution to research and practice

    Corporate Social Responsibility: the institutionalization of ESG

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    Understanding the impact of Corporate Social Responsibility (CSR) on firm performance as it relates to industries reliant on technological innovation is a complex and perpetually evolving challenge. To thoroughly investigate this topic, this dissertation will adopt an economics-based structure to address three primary hypotheses. This structure allows for each hypothesis to essentially be a standalone empirical paper, unified by an overall analysis of the nature of impact that ESG has on firm performance. The first hypothesis explores the evolution of CSR to the modern quantified iteration of ESG has led to the institutionalization and standardization of the CSR concept. The second hypothesis fills gaps in existing literature testing the relationship between firm performance and ESG by finding that the relationship is significantly positive in long-term, strategic metrics (ROA and ROIC) and that there is no correlation in short-term metrics (ROE and ROS). Finally, the third hypothesis states that if a firm has a long-term strategic ESG plan, as proxied by the publication of CSR reports, then it is more resilience to damage from controversies. This is supported by the finding that pro-ESG firms consistently fared better than their counterparts in both financial and ESG performance, even in the event of a controversy. However, firms with consistent reporting are also held to a higher standard than their nonreporting peers, suggesting a higher risk and higher reward dynamic. These findings support the theory of good management, in that long-term strategic planning is both immediately economically beneficial and serves as a means of risk management and social impact mitigation. Overall, this contributes to the literature by fillings gaps in the nature of impact that ESG has on firm performance, particularly from a management perspective

    A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching

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    An efficient team is essential for the company to successfully complete new projects. To solve the team formation problem considering person-job matching (TFP-PJM), a 0-1 integer programming model is constructed, which considers both person-job matching and team members' willingness to communicate on team efficiency, with the person-job matching score calculated using intuitionistic fuzzy numbers. Then, a reinforcement learning-assisted genetic programming algorithm (RL-GP) is proposed to enhance the quality of solutions. The RL-GP adopts the ensemble population strategies. Before the population evolution at each generation, the agent selects one from four population search modes according to the information obtained, thus realizing a sound balance of exploration and exploitation. In addition, surrogate models are used in the algorithm to evaluate the formation plans generated by individuals, which speeds up the algorithm learning process. Afterward, a series of comparison experiments are conducted to verify the overall performance of RL-GP and the effectiveness of the improved strategies within the algorithm. The hyper-heuristic rules obtained through efficient learning can be utilized as decision-making aids when forming project teams. This study reveals the advantages of reinforcement learning methods, ensemble strategies, and the surrogate model applied to the GP framework. The diversity and intelligent selection of search patterns along with fast adaptation evaluation, are distinct features that enable RL-GP to be deployed in real-world enterprise environments.Comment: 16 page

    Artificial Minds

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    This paper explores the artistic possibilities of artificial intelligence, as well as its ability to act as a creative being through its learned knowledge from the collective consciousness of human beings, whether this learned knowledge can be used by the AI to represent reality, and whether this can be problematic regarding learned biases from the preexisting ones of our own. Looking at the history of how far artificial intelligence has come within the creative artistic realm, examining the technical aspects of how exactly an AI is able to generate original art, and examining four artists that all collaborate with artificially intelligent computer system in very diverse and unique ways, whether through video art, physical pencil drawings, or GAN generated imagery to create original works of art, the paperinvestigates whether the resulting artworks can be considered creative productions, whether AI can be taught artistic skills, whether these artistic skills can be implemented in representations of reality, and whether the AI can potentially inherit human biases in the process

    DĂ©veloppement d’un systĂšme intelligent de reconnaissance automatisĂ©e pour la caractĂ©risation des Ă©tats de surface de la chaussĂ©e en temps rĂ©el par une approche multicapteurs

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    Le rĂŽle d’un service dĂ©diĂ© Ă  l’analyse de la mĂ©tĂ©o routiĂšre est d’émettre des prĂ©visions et des avertissements aux usagers quant Ă  l’état de la chaussĂ©e, permettant ainsi d’anticiper les conditions de circulations dangereuses, notamment en pĂ©riode hivernale. Il est donc important de dĂ©finir l’état de chaussĂ©e en tout temps. L’objectif de ce projet est donc de dĂ©velopper un systĂšme de dĂ©tection multicapteurs automatisĂ©e pour la caractĂ©risation en temps rĂ©el des Ă©tats de surface de la chaussĂ©e (neige, glace, humide, sec). Ce mĂ©moire se focalise donc sur le dĂ©veloppement d’une mĂ©thode de fusion de donnĂ©es images et sons par apprentissage profond basĂ©e sur la thĂ©orie de Dempster-Shafer. Les mesures directes pour l’acquisition des donnĂ©es qui ont servi Ă  l’entrainement du modĂšle de fusion ont Ă©tĂ© effectuĂ©es Ă  l’aide de deux capteurs Ă  faible coĂ»t disponibles dans le commerce. Le premier capteur est une camĂ©ra pour enregistrer des vidĂ©os de la surface de la route. Le second capteur est un microphone pour enregistrer le bruit de l’interaction pneu-chaussĂ©e qui caractĂ©rise chaque Ă©tat de surface. La finalitĂ© de ce systĂšme est de pouvoir fonctionner sur un nano-ordinateur pour l’acquisition, le traitement et la diffusion de l’information en temps rĂ©el afin d’avertir les services d’entretien routier ainsi que les usagers de la route. De façon prĂ©cise, le systĂšme se prĂ©sente comme suit :1) une architecture d’apprentissage profond classifiant chaque Ă©tat de surface Ă  partir des images issues de la vidĂ©o sous forme de probabilitĂ©s ; 2) une architecture d’apprentissage profond classifiant chaque Ă©tat de surface Ă  partir du son sous forme de probabilitĂ©s ; 3) les probabilitĂ©s issues de chaque architecture ont Ă©tĂ© ensuite introduites dans le modĂšle de fusion pour obtenir la dĂ©cision finale. Afin que le systĂšme soit lĂ©ger et moins coĂ»teux, il a Ă©tĂ© dĂ©veloppĂ© Ă  partir d’architectures alliant lĂ©gĂšretĂ© et prĂ©cision Ă  savoir Squeeznet pour les images et M5 pour le son. Lors de la validation, le systĂšme a dĂ©montrĂ© une bonne performance pour la dĂ©tection des Ă©tats surface avec notamment 87,9 % pour la glace noire et 97 % pour la neige fondante

    Coloniality and the Courtroom: Understanding Pre-trial Judicial Decision Making in Brazil

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    This thesis focuses on judicial decision making during custody hearings in Rio de Janeiro, Brazil. The impetus for the study is that while national and international protocols mandate the use of pre-trial detention only as a last resort, judges continue to detain people pre-trial in large numbers. Custody hearings were introduced in 2015, but the initiative has not produced the reduction in pre-trial detention that was hoped. This study aims to understand what informs judicial decision making at this stage. The research is approached through a decolonial lens to foreground legacies of colonialism, overlooked in mainstream criminological scholarship. This is an interview-based study, where key court actors (judges, prosecutors, and public defenders) and subject matter specialists were asked about influences on judicial decision making. Interview data is complemented by non-participatory observation of custody hearings. The research responds directly to Aliverti et al.'s (2021) call to ‘decolonize the criminal question’ by exposing and explaining how colonialism informs criminal justice practices. Answering the call in relation to judicial decision making, findings provide evidence that colonial-era assumptions, dynamics, and hierarchies were evident in the practice of custody hearings and continue to inform judges’ decisions, thus demonstrating the coloniality of justice. This study is significant for the new empirical data presented and theoretical innovation is also offered via the introduction of the ‘anticitizen’. The concept builds on Souza’s (2007) ‘subcitizen’ to account for the active pursuit of dangerous Others by judges casting themselves as crime fighters in a modern moral crusade. The findings point to the limited utility of human rights discourse – the normative approach to influencing judicial decision making around pre-trial detention – as a plurality of conceptualisations compete for dominance. This study has important implications for all actors aiming to reduce pre-trial detention in Brazil because unless underpinning colonial logics are addressed, every innovation risks becoming the next lei para inglĂȘs ver (law [just] for the English to see)

    A Case Study Examining Japanese University Students' Digital Literacy and Perceptions of Digital Tools for Academic English learning

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    Current Japanese youth are constantly connected to the Internet and using digital devices, but predominantly for social media and entertainment. According to literature on the Japanese digital native, tertiary students do not—and cannot—use technology with any reasonable fluency, but the likely reasons are rarely addressed. To fill the gap in the literature, this study, by employing a case study methodology, explores students’ experience with technology for English learning through the introduction of digital tools. First-year Japanese university students in an Academic English Program (AEP) were introduced to a variety of easily available digital tools. The instruction was administered online, and each tool was accompanied by a task directly related to classwork. Both quantitative and qualitative data were collected in the form of a pre-course Computer Literacy Survey, a post-course open-ended Reflection Activity survey, and interviews. The qualitative data was reviewed drawing on the Technology Acceptance Model (TAM) and its educational variants as an analytical framework. Educational, social, and cultural factors were also examined to help identify underlying factors that would influence students’ perceptions. The results suggest that the subjects’ lack of awareness of, and experience with, the use of technology for learning are the fundamental causes of their perceptions of initial difficulty. Based on these findings, this study proposes a possible technology integration model that enhances digital literacy for more effective language learning in the context of Japanese education

    The Future of Work and Digital Skills

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    The theme for the events was "The Future of Work and Digital Skills". The 4IR caused a hollowing out of middle-income jobs (Frey & Osborne, 2017) but COVID-19 exposed the digital gap as survival depended mainly on digital infrastructure and connectivity. Almost overnight, organizations that had not invested in a digital strategy suddenly realized the need for such a strategy and the associated digital skills. The effects have been profound for those who struggled to adapt, while those who stepped up have reaped quite the reward.Therefore, there are no longer certainties about what the world will look like in a few years from now. However, there are certain ways to anticipate the changes that are occurring and plan on how to continually adapt to an increasingly changing world. Certain jobs will soon be lost and will not come back; other new jobs will however be created. Using data science and other predictive sciences, it is possible to anticipate, to the extent possible, the rate at which certain jobs will be replaced and new jobs created in different industries. Accordingly, the collocated events sought to bring together government, international organizations, academia, industry, organized labour and civil society to deliberate on how these changes are occurring in South Africa, how fast they are occurring and what needs to change in order to prepare society for the changes.Deutsche Gesellschaft fĂŒr Internationale Zusammenarbeit (GIZ) British High Commission (BHC)School of Computin
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