Browsing by Issue Date, starting with "2022-05-13"
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- Exploring Deep Reinforcement Learning- Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoTPublication . Zheng, Jingjing; Li, Kai; Ni, Wei; Tovar, Eduardo; Guizani, Mohsen; Mhaisen, NaramFederated learning (FL) has been increasingly considered to preserve data training privacy from eavesdropping attacks in mobile edge computing-based Internet of Thing (EdgeIoT). On the one hand, the learning accuracy of FL can be improved by selecting the IoT devices with large datasets for training, which gives rise to a higher energy consumption. On the other hand, the energy consumption can be reduced by selecting the IoT devices with small datasets for FL, resulting in a falling learning accuracy. In this paper, we formulate a new resource allocation problem for privacy-preserving EdgeIoT to balance the learning accuracy of FL and the energy consumption of the IoT device. We propose a new federated learning-enabled twin-delayed deep deterministic policy gradient (FLDLT3) framework to achieve the optimal accuracy and energy balance in a continuous domain. Furthermore, long short term memory (LSTM) is leveraged in FL-DLT3 to predict the time-varying network state while FL-DLT3 is trained to select the IoT devices and allocate the transmit power. Numerical results demonstrate that the proposed FL-DLT3 achieves fast convergence (less than 100 iterations) while the FL accuracy-to-energy consumption ratio is improved by 51.8% compared to existing state-of-the-art benchmark.
- Terminology Management for Social Media Communication During Covid 19 Pandemic: A Case Study with a Portuguese Higher Education InstitutionPublication . Pinto, Susana; Tavares, Célia; Moreira Silva, ManuelThe process of attracting new students is a constant challenge for Portuguese Higher Education Institutions (HEIs). It is challenging because it implies the definition of a communication strategy that uses both traditional and digital tactics to promote the institution and its educational offer. Considering the constraints resulting from the COVID-19 pandemic, HEIs had to change their strategies and, in a short period, create digital communication mechanisms to facilitate new students' access to relevant information about the institution. This paper intends thus to determine and evaluate which are the predominant factors in seeking information about a degree in business sciences, specifically regarding the Porto Accounting and Business School in Portugal. To do that, we will consider the various factors that tend to influence the decision-making process of choosing a higher education degree, namely: the institutional website, social networks (Instagram, Facebook, Twitter and YouTube), other contact mechanisms (live chat, e-mail, text messages, ZOOM videoconference) and alumni testimonials. This study will also consider the role of terminology and positive language to obtain a successful communication strategy for social media. The analysis of these factors, combined with research developed with a focus group of high school students' graduates to assess their online preferences, will allow the presentation of a digital communication proposal whose purpose is to attract and retain new students. This proposal will consider the role of a strategic terminology management approach to capture students' attention when responding to their social media preferences. This paper results from the perception that being aware of the students' online preferences and communication skills and needs is essential to enhance the quality of the digital communication that HEIs promote in social media channels, especially in a time frame as specific and multifaceted as the one that we are currently experiencing.
- Nature and Mindfulness to Cope with Work-Related Stress: A Narrative ReviewPublication . Menardo, Elisa; Di Marco, Donatella; Ramos, Sara; Brondino, Margherita; Arenas, Alicia; Costa, Patricia; Vaz de Carvalho, Carlos; Pasini, MargheritaIn recent years, work-related stress has grown exponentially and the negative impact that this condition has on people’s health is considerable. The effects of work-related stress can be distinguished in those that affect workers (e.g., depression and anxiety) and those that affect the company (e.g., absenteeism and productivity). It is possible to distinguish two types of prevention interventions. Individual interventions aim at promoting coping and individual resilience strategies with the aim of modifying cognitive assessments of the potential stressor, thus reducing its negative impact on health. Mindfulness techniques have been found to be effective stress management tools that are also useful in dealing with stressful events in the workplace. Organizational interventions modify the risk factors connected to the context and content of the work. It was found that a restorative workplace (i.e., with natural elements) reduces stress and fatigue, improving work performance. Furthermore, practicing mindfulness in nature helps to improve the feeling of wellbeing and to relieve stress. In this paper, we review the role of mindfulness-based practices and of contact with nature in coping with stressful situations at work, and we propose a model of coping with work-related stress by using mindfulness in nature-based practices.