Search results for "NETWORK"

showing 10 items of 7718 documents

Health as an Institutional Commitment. The conversion of Nordkraft from a Power Station to a Cultural and Health Centre

2021

More than half of the world's population currently lives in cities, and urban health problems have worsened. In cities, there are serious risk factors for health and the spread of diseases, such as COVID-19 whose major epicentres have been in urban settlements. To guarantee public health, urban environments must be remodelled on the basis of new urban planning principles, in a holistic vision with integrated social and health-related aspects. Indeed, public health in urban habitats is not just about increasing life expectancy but also about improving the quality of life itself. Consequently, urban environments must offer not only health services but also social opportunities to individuals,…

Urban HealthAalborgSettore ICAR/21 - UrbanisticaOMS Healthy Cities NetworkHealthy SettingNordkraft
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Increasing the attractiveness of a cruise port for cargo business: The contribution of stakeholders

2021

Abstract Cruise and cargo operations, though distinct seaport activities, have sufficiently similar functions that by accommodating cargo business in a largely cruise domain, a port may achieve increased attractiveness and better resource utilization. We sought to conceptualize a framework by which an existing cruise port can integrate divergent stakeholder interests to achieve port attractiveness under this duality. We adopted a qualitative approach involving in-depth interviews with experts representing the port authority and key stakeholders at Port Canaveral, the second busiest multi-day cruise embarkation port in the world. We identified a supply chain integration model as a pathway to…

Urban StudiesAttractivenessSupply chain managementSupply chainGeography Planning and DevelopmentCruiseStakeholderTransportationContext (language use)BusinessBusiness modelPort (computer networking)Industrial organizationCase Studies on Transport Policy
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The Urban Park as a "Social Island". The ANP in the Participatory Project of Parco Uditore in Palermo

2019

An urban park provides many environmental and recreational facilities and services, and moreover it may become a catalyst for social energies and an instrument of community identification. This paper analyses whether participation and bottom-up planning may compensate institutional absences in implementation of urban parks, and how multiple criteria model may support socially shared decisions about their management. These issues are examined from the singular case of Parco Uditore in Palermo (Italy) that is located in a land which has been surprisingly undeveloped, despite the expansion of the city. The phases of promotion, planning and implementation of the park were the result of a synerg…

Urban parkSettore ICAR/15 - Architettura Del PaesaggioProcess (engineering)Analytic network processmedia_common.quotation_subjectCitizen journalismparticipatory process decision aid Analytic Network Process urban park bottom-up planningIdentification (information)Promotion (rank)Order (exchange)Settore ICAR/22 - EstimoBusinessEnvironmental planningRecreationmedia_common
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Cities and garbage: an un-sustainable relationship

2009

www.cityfutures.com/

Urban sustainable development landscape ecological network core areas identity
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The cockroach Blattella germanica obtains nitrogen from uric acid through a metabolic pathway shared with its bacterial endosymbiont.

2014

Uric acid storedin the fat bodyof cockroaches is a nitrogen reservoirmobilized in times of scarcity. The discovery of urease in Blattabacterium cuenoti, the primary endosymbiont of cockroaches, suggests that the endosymbiont may participate in cockroach nitrogen economy. However, bacterial urease may only be one piece in the entire nitrogen recycling process from insect uric acid. Thus, in addition to the uricolytic pathway to urea, there must be glutamine synthetase assimilating the released ammonia by the urease reaction to enable the stored nitrogen to be metabolically usable. None of the Blattabacterium genomes sequenced to date possess genes encoding for those enzymes. To test the host…

UreaseProlinePhysiologyNitrogenGlutamineFat BodyGenome InsectMolecular Sequence DataGlycinechemistry.chemical_compoundBlattabacteriumGlutamine synthetaseAnimalsAsparagineNitrogen metabolismAmino AcidsSymbiosischemistry.chemical_classificationBlattabacteriumBase SequencebiologyBacteroidetesBlattellidaebiology.organism_classificationAgricultural and Biological Sciences (miscellaneous)Uric AcidAmino acidGlutamineMetabolic pathwayGene Expression RegulationBiochemistrychemistrybiology.proteinUric acidDietary ProteinsAsparagineGeneral Agricultural and Biological SciencesMetabolic Networks and Pathways
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CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study

2020

Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric magnetic resonance imaging (MRI), which provides both morphologic and functional information pertaining to the pathological regions. Along with whole prostate gland segmentation, distinguishing between the central gland (CG) and peripheral zone (PZ) can guide toward differential diagnosis, since the frequency and severity of tumors differ in these regions; however, their boundary is often weak and fuzzy. This work presents a preliminary study on deep learning to automatically delineate the CG and PZ, aiming at evaluating the generalization ability o…

Urologic DiseasesComputer scienceContext (language use)32 Biomedical and Clinical Sciences-Convolutional neural networkDeep convolutional neural networks Prostate zonal segmentation Cross-dataset generalizationProstate cancer46 Information and Computing SciencesProstateDeep convolutional neural networksmedicineAnatomical MRISegmentationProstate zonal segmentation; Prostate cancer; Anatomical MRI; Deep convolutional neural networks; Cross-dataset generalization;3202 Clinical SciencesCancerSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniProstate cancerSettore INF/01 - Informaticamedicine.diagnostic_testbusiness.industryDeep learningINF/01 - INFORMATICAMagnetic resonance imagingPattern recognitionmedicine.disease3211 Oncology and Carcinogenesismedicine.anatomical_structureCross-dataset generalizationProstate zonal segmentationBiomedical ImagingArtificial intelligenceDeep convolutional neural networkbusinessT2 weightedAnatomical MRI; Cross-dataset generalization; Deep convolutional neural networks; Prostate cancer; Prostate zonal segmentation
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2021

In COVID-19 related infodemic, social media becomes a medium for wrongdoers to spread rumors, fake news, hoaxes, conspiracies, astroturf memes, clickbait, satire, smear campaigns, and other forms of deception. It puts a tremendous strain on society by damaging reputation, public trust, freedom of expression, journalism, justice, truth, and democracy. Therefore, it is of paramount importance to detect and contain unreliable information. Multiple techniques have been proposed to detect fake news propagation in tweets based on tweets content, propagation on the network of users, and the profile of the news generators. Generating human-like content allows deceiving content-based methods. Networ…

User profileBoosting (machine learning)Information retrievalGeneral Computer ScienceComputer sciencebusiness.industryDeep learningmedia_common.quotation_subjectNode (networking)Feature extractionGeneral EngineeringComplex networkBinary classificationGeneral Materials ScienceArtificial intelligenceElectrical and Electronic EngineeringbusinessReputationmedia_commonIEEE Access
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WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based Approach

2020

The huge number of modern social network users has made the web a fertile ground for the growth and development of a plethora of recommender systems. To date, recommending a new user profile X to a given user U that could be interested in creating a relationship with X has been tackled using techniques based on content analysis, existing friendship relationships and other pieces of information coming from different social networks or websites. In this paper we propose a recommending architecture - called WhoSNext (WSN) - tested on Twitter and which aim is promoting the creation of new relationships among users. As recent researches show, this is an interesting recommendation problem: for a …

User profileInformation retrievalSocial networkbusiness.industryComputer sciencesocial networkingmedia_common.quotation_subjectTwitterKnowledge engineeringspreading activation network020207 software engineering02 engineering and technologyRecommender systemFriendshipContent analysis0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingData pre-processingRecommender systembusinessWireless sensor networksocial users recommendationmedia_common2020 International Conference on Data Mining Workshops (ICDMW)
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A new project management approach for R&D software projects in the automotive industry - continuous V-model

2017

Most current work activities in R&D centres are innovative and dynamic, with project management acting as the discipline that governs them. The improvement of PM methods has become a necessity due to the following main factors: classical methodologies are increasingly difficult to apply, cutbacks in project duration are requested by organisations and customers, demands for product quality are continuously expanding. The paper examines how PM concepts are used in developed R&D projects, based on the V-model approach. It also introduces an enhanced new approach called Continuous V-model - CVM, based on agile concepts. The model has been applied on a real automotive R&D project and the resulte…

V-ModelComputer Networks and Communicationsbusiness.industryComputer science05 social sciences0211 other engineering and technologies02 engineering and technologyManufacturing engineeringProject planningHardware and Architecture021105 building & construction0502 economics and businessPerformance indicatorProject managementProject portfolio managementbusinessSoftware engineering050203 business & managementSoftware project managementInformation SystemsAgile software developmentProject management triangleInternational Journal of Web Engineering and Technology
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"Table 51" of "Measurement of the distributions of event-by-event flow harmonics in lead--lead collisions at sqrt(s_NN)=2.76 TeV with the ATLAS detec…

2014

The values of DELTA(V2) and DELTA(V2,obs) obtained from the Bessel-Gaussian fits to the V2 and V2(obs) distributions, with the statistical uncertainties.

V2Inclusive2760.0Astrophysics::High Energy Astrophysical PhenomenaComputer Science::Networking and Internet ArchitectureAngular CorrelationHigh Energy Physics::ExperimentPB PB --> CHARGED X
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