101 research outputs found

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico

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    Conference proceedings info: ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies Raleigh, HI, United States, March 24-26, 2023 Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologías de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clínicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la Secretaría de Salud, el Centro de Comando, Comunicaciones y Control Informático. de la Secretaría del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-

    Advances in Information Security and Privacy

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    With the recent pandemic emergency, many people are spending their days in smart working and have increased their use of digital resources for both work and entertainment. The result is that the amount of digital information handled online is dramatically increased, and we can observe a significant increase in the number of attacks, breaches, and hacks. This Special Issue aims to establish the state of the art in protecting information by mitigating information risks. This objective is reached by presenting both surveys on specific topics and original approaches and solutions to specific problems. In total, 16 papers have been published in this Special Issue

    Gender in Focus

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    This book deals with the interplay between identities, codes, stereotypes and politics governing the various constructions and deconstructions of gender in several Western and non-Western societies (Germany, Italy, Serbia, Romania, Cameroon, Indonesia, Vietnam, and others). Readers are invited to discover the realm of gender studies and to reflect upon the transformative potentialities of globalisation and interculturality

    An Approach to Guide Users Towards Less Revealing Internet Browsers

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    When browsing the Internet, HTTP headers enable both clients and servers send extra data in their requests or responses such as the User-Agent string. This string contains information related to the sender’s device, browser, and operating system. Previous research has shown that there are numerous privacy and security risks result from exposing sensitive information in the User-Agent string. For example, it enables device and browser fingerprinting and user tracking and identification. Our large analysis of thousands of User-Agent strings shows that browsers differ tremendously in the amount of information they include in their User-Agent strings. As such, our work aims at guiding users towards using less exposing browsers. In doing so, we propose to assign an exposure score to browsers based on the information they expose and vulnerability records. Thus, our contribution in this work is as follows: first, provide a full implementation that is ready to be deployed and used by users. Second, conduct a user study to identify the effectiveness and limitations of our proposed approach. Our implementation is based on using more than 52 thousand unique browsers. Our performance and validation analysis show that our solution is accurate and efficient. The source code and data set are publicly available and the solution has been deployed

    Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021

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    The eighth edition of the Italian Conference on Computational Linguistics (CLiC-it 2021) was held at Università degli Studi di Milano-Bicocca from 26th to 28th January 2022. After the edition of 2020, which was held in fully virtual mode due to the health emergency related to Covid-19, CLiC-it 2021 represented the first moment for the Italian research community of Computational Linguistics to meet in person after more than one year of full/partial lockdown

    Geo-distributed Edge and Cloud Resource Management for Low-latency Stream Processing

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    The proliferation of Internet-of-Things (IoT) devices is rapidly increasing the demands for efficient processing of low latency stream data generated close to the edge of the network. Edge Computing provides a layer of infrastructure to fill latency gaps between the IoT devices and the back-end cloud computing infrastructure. A large number of IoT applications require continuous processing of data streams in real-time. Edge computing-based stream processing techniques that carefully consider the heterogeneity of the computing and network resources available in the geo-distributed infrastructure provide significant benefits in optimizing the throughput and end-to-end latency of the data streams. Managing geo-distributed resources operated by individual service providers raises new challenges in terms of effective global resource sharing and achieving global efficiency in the resource allocation process. In this dissertation, we present a distributed stream processing framework that optimizes the performance of stream processing applications through a careful allocation of computing and network resources available at the edge of the network. The proposed approach differentiates itself from the state-of-the-art through its careful consideration of data locality and resource constraints during physical plan generation and operator placement for the stream queries. Additionally, it considers co-flow dependencies that exist between the data streams to optimize the network resource allocation through an application-level rate control mechanism. The proposed framework incorporates resilience through a cost-aware partial active replication strategy that minimizes the recovery cost when applications incur failures. The framework employs a reinforcement learning-based online learning model for dynamically determining the level of parallelism to adapt to changing workload conditions. The second dimension of this dissertation proposes a novel model for allocating computing resources in edge and cloud computing environments. In edge computing environments, it allows service providers to establish resource sharing contracts with infrastructure providers apriori in a latency-aware manner. In geo-distributed cloud environments, it allows cloud service providers to establish resource sharing contracts with individual datacenters apriori for defined time intervals in a cost-aware manner. Based on these mechanisms, we develop a decentralized implementation of the contract-based resource allocation model for geo-distributed resources using Smart Contracts in Ethereum

    The hedgehog in the coal mine: Exploring hedgehog extinction accounting in the agrochemical sector

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    The ongoing 6th mass extinction has alerted the accounting community to the need to go beyond accounting for biodiversity. With over 1 million species currently threatened by extinction, the extinction accounting framework has been getting traction with the financial and investment sectors, alerting companies more than ever of the need to account for species as a double material risk. Following current literature in extinction accounting on bee extinction, the thesis focusing on the agrochemical industry in relation to hedgehogs extinction in the UK, the population of which has diminished in over 30% in urban areas and 50% in rural areas since 2000. To examine the implementation of the extinction accounting framework in the agrochemical sector and the hedgehog protection arena, the following research questions were posed: 1. Are the discourses identified in the texts working to ensure the survival of all living beings or is there a need to search for new stories? Which discourses are destructive, predominantly working against the ecosophy? Which discourses are ambivalent can beneficial discourses be found to resonate with the ecosophy? 2. How is the natural world represented and constructed by the agrochemical corporations via multimodal semiosis such as images and videos? 3. What discourses do other stakeholders and organisations such as NGOs, local authorities, hedgehog carers in the hedgehog arena use? 4. How can the extinction accounting framework improve agrochemical accountability in the UK context, in relation to disappearing hedgehogs? To answer the research questions, the methodology, anchored in social constructionism, theorises that agrochemical companies construct a shadow reality, using Beck’s (1992) application of Plato’s allegory of the cave. The methodology positions accounting practices and reporting as a social construct that is discursively constructed. Therefore, through applying an ecolinguistic analysis of textual, multimodal of two agrochemical corporations and spoken discourse of 32 interviewees spanning a wide range of stakeholders within the hedgehog and agrochemical arena, the thesis examines the discourses against the researcher’s ecosophy. A political theory of animals rights is applied as the ecosophy to argue that for disclosures to be truly emancipatory, they must be anchored in positive political rights awarded to animals. The findings from the four empirical chapters are compared and contrasted to reveal that agrochemical companies reject the adoption of the extinction accounting framework as they deny the 6th mass extinction and biodiversity loss and do not view hedgehog extinction, or any other species, as a material risk. The findings demonstrate that companies de-legitimise NGOs in the hedgehog and environmental arena. In turn, the findings suggest NGOs do not acknowledge hedgehog rescuers’ knowledge and expertise. In fact, beyond the economic and financial restricting factors faced by NGOs and local councils, their lack of coordination and accountability, coupled with pressures to appear ‘metric’ and ‘scientific’ presents an obstacle to halting hedgehog extinction. Finally, the thesis reveals that hedgehog rescuers, although disparate, are the ones who transmit the plight of hedgehogs

    Unequal Lives

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    As we move further into the twenty-first century, we are witnessing both the global extensification and local intensification of inequality. Unequal Lives deals with the particular dilemmas of inequality in the Western Pacific. The authors focus on four dimensions of inequality: the familiar triad of gender, race and class, and the often-neglected dimension of generation. Grounded in meticulous long-term ethnographic enquiry and deep awareness of the historical contingency of these configurations of inequality, this volume illustrates the multidimensional, multiscale and epistemic nature of contemporary inequality. This collection is a major contribution to academic and political debates about the perverse effects of inequality, which now ranks among the greatest challenges of our time. The inspiration for this volume derives from the breadth and depth of Martha Macintyre's remarkable scholarship. The contributors celebrate Macintyre’s groundbreaking work, which exemplifies the explanatory power, ethical force and pragmatism that ensures the relevance of anthropological research to the lives of others and to understanding the global condition

    A comparison of the CAR and DAGAR spatial random effects models with an application to diabetics rate estimation in Belgium

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    When hierarchically modelling an epidemiological phenomenon on a finite collection of sites in space, one must always take a latent spatial effect into account in order to capture the correlation structure that links the phenomenon to the territory. In this work, we compare two autoregressive spatial models that can be used for this purpose: the classical CAR model and the more recent DAGAR model. Differently from the former, the latter has a desirable property: its ρ parameter can be naturally interpreted as the average neighbor pair correlation and, in addition, this parameter can be directly estimated when the effect is modelled using a DAGAR rather than a CAR structure. As an application, we model the diabetics rate in Belgium in 2014 and show the adequacy of these models in predicting the response variable when no covariates are available
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