368 research outputs found

    Flexible And Secure Access To Computing Clusters

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    The investigation presented in this paper was prompted by the need to provide a manageablesolution for secure access to computing clusters with a federated authentication framework.This requirement is especially important for scientists who need direct access to computingnodes in order to run their applications (e.g. chemical or medical simulations) with proprietary,open-source or custom-developed software packages. Our existing software, whichenables non-Web clients to use Shibboleth-secured services, has been extended to providedirect SSH access to cluster nodes using the Linux Pluggable Authentication Modules mechanism.This allows Shibboleth users to run the required software on clusters. Validationand performance comparison with existing SSH authentication mechanisms confirm that thepresented tools satisfy the stated requirements

    Pakendi disaini mõju selle tajutavale suurusele

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    PROJECT STATUS TRACKING VIA INTEGRATED INTERFACE

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    A technique is proposed for assisting members of a project group in managing a project through a cloud-based content platform. A project synchronization service may detect an action associated with a project group has been performed using an applicable platform application. A status update reflecting the performed action may be generated. The status update may be published to a project feed, where the project feed is accessible to each user of the project group

    Libraries and Institutions

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    Towards Exascale Computing Architecture and Its Prototype: Services and Infrastructure

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    This paper presents the design and implementation of a scalable compute platform for processing large data sets in the scope of the EU H2020 project PROCESS. We are presenting requirements of the platform, related works, infrastructure with focus on the compute components and finally results of our work

    PROCESS Data Infrastructure and Data Services

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    Due to energy limitation and high operational costs, it is likely that exascale computing will not be achieved by one or two datacentres but will require many more. A simple calculation, which aggregates the computation power of the 2017 Top500 supercomputers, can only reach 418 petaflops. Companies like Rescale, which claims 1.4 exaflops of peak computing power, describes its infrastructure as composed of 8 million servers spread across 30 datacentres. Any proposed solution to address exascale computing challenges has to take into consideration these facts and by design should aim to support the use of geographically distributed and likely independent datacentres. It should also consider, whenever possible, the co-allocation of the storage with the computation as it would take 3 years to transfer 1 exabyte on a dedicated 100 Gb Ethernet connection. This means we have to be smart about managing data more and more geographically dispersed and spread across different administrative domains. As the natural settings of the PROCESS project is to operate within the European Research Infrastructure and serve the European research communities facing exascale challenges, it is important that PROCESS architecture and solutions are well positioned within the European computing and data management landscape namely PRACE, EGI, and EUDAT. In this paper we propose a scalable and programmable data infrastructure that is easy to deploy and can be tuned to support various data-intensive scientific applications

    Oculocardiac Reflex During Intravitreal Injection

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    Oculocardiac reflex (OCR) has been described to occur with mechanical manipulation of the eye, eyelids or orbit. There are no reports in the literature of OCR during intravitreal injection (IVI). This may be due to the fact that heart rate is not monitored during the procedure. We aimed to evaluate OCR during IVI. A total of 532 patients were enrolled in the study in Asociacion para Evitar la Ceguera en Mexico. Mexico City, Mexico. IVI was performed on one eye in every patient with diabetic retinopathy (DR), age related macular degeneration (AMD) or choroidal neovascularization (CNV) secondary to pathological myopia. Heart rate was monitored with a pulse oximeter before, during and after injection. OCR was defined as a 20% decrease or more of basal heart rate. The population enrolled included 270 females and 262 males with mean age of 63.8 years. A decrease in heart rate of 20% or more occurred in 18 patients during IVI (3.3%; 95% confidence interval 1.85% and 4.92%). OCR was asymptomatic in these patients. OCR occurred in 3.3% of our patients during IVI. Hence, OCR must be considered when performing IVI

    Clinical Experiences of Fetal Ovarian Cyst: Diagnosis and Consequence

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    Ovarian cysts are the most frequent, prenatally diagnosed intra-abdominal cysts. Fetal ovarian cyst often presents complication such as torsion and seems to be an indication for surgical intervention. In this study, we reviewed pre- and post-natal medical records and ultrasonography of 17 fetuses that were diagnosed with ovarian cysts. In a total of 17 cases, postnatal surgery was performed in 7 infants. Of these cases, four cases of ovarian cyst torsion were confirmed. In the remaining 10 fetuses, one case regressed completely during pregnancy, and the other nine cases including two complex cysts resolve spontaneously after birth. Postnatal symptomatic cysts or cysts with a diameter greater than 5 cm that do not regress or enlarge should be treated, but uncomplicated asymptomatic cysts less than 5 cm in diameter should only be observed and reassessed by serial ultrasonography. If they regress spontaneously, no surgical intervention is necessary independent of their sonographic findings

    OEIS complex associated with chromosome 1p36 deletion: A case report and review

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    OEIS complex (Omphalocele, Exstrophy of the cloaca, Imperforate anus, and Spine abnormalities) is a rare defect with estimated incidence of 1 in 200,000 live births. Most cases are sporadic, with no obvious cause. However, it has been rarely reported in patients with family members having similar malformations or with chromosomal anomalies. In addition, OEIS complex has been observed in association with environmental exposures, twinning, and in vitro fertilization. Monosomy 1p36 is the most common terminal deletion syndrome, with a prevalence of 1 in 5,000 newborns. It is characterized by specific facial features, developmental delay, and heart, skeletal, genitourinary, and neurological defects. We describe an infant with OEIS complex and 1p36 deletion who had features of both disorders, including omphalocele, cloacal exstrophy, imperforate anus, sacral multiple segmentation, renal malposition and malrotation, genital anomalies, diastasis of the symphysis pubis, microbrachycephaly, large anterior fontanel, cardiac septal defects, rib fusion, a limb deformity, developmental delay, and typical facial features. Chromosomal microarray analysis detected a 2.4 Mb terminal deletion of chromosome 1p. This is the first reported case with OEIS complex in association with a chromosome 1p36 deletion. © 2010 Wiley-Liss, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/64897/1/33226_ftp.pd

    PRIMAGE project : predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers

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    PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in the consortium, including the European Society for Paediatric Oncology, two imaging biobanks, and three prominent European paediatric oncology units. The project is constructed as an observational in silico study involving high-quality anonymised datasets (imaging, clinical, molecular, and genetics) for the training and validation of machine learning and multiscale algorithms. The open cloud-based platform will offer precise clinical assistance for phenotyping (diagnosis), treatment allocation (prediction), and patient endpoints (prognosis), based on the use of imaging biomarkers, tumour growth simulation, advanced visualisation of confidence scores, and machine-learning approaches. The decision support prototype will be constructed and validated on two paediatric cancers: neuroblastoma and diffuse intrinsic pontine glioma. External validation will be performed on data recruited from independent collaborative centres. Final results will be available for the scientific community at the end of the project, and ready for translation to other malignant solid tumours
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