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The SMART BEAR Project: An Overview of Its Infrastructure 7th

The SMART BEAR Project: An Overview of Its Infrastructure

7th and 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2021 and ICT4AWE 2022

作者： Su, Qiqi Peretokin, Vadim Basdekis, Ioannis Kouris, Ioannis Maggesi, Jonatan Sicuranza, Mario Acebes, Alberto Bucur, Anca Mukkala, Vinod Jaswanth Roy Pozdniakov, Konstantin Kloukinas, Christos Koutsouris, Dimitrios D. Iliadou, Elefteria Leontsinis, Ioannis Gallo, Luigi De Pietro, Giuseppe Spanoudakis, George Department of Computer Science City University of London London United Kingdom Philips Research Eindhoven Netherlands SPHYNX Technology Solutions AG Zug Switzerland Biomedical Engineering Laboratory School of Electrical and Computer Engineering National Technical University of Athens Athens Greece Computer Science Department Università degli Studi di Milano Milan Italy Institute for High-Performance Computing and Networking National Research Council of Italy ICAR - CNR Naples Italy Atos Research and Innovation Madrid Spain 1st Otolaryngology University Department National and Kapodistrian University of Athens Athens Greece 1st Cardiology Clinic Medical School National and Kapodistrian University of Athens Athens Greece

ISBN: (纸本)9783031374951

The paper describes a cloud-based platform that utilizes Artificial Intelligence (AI) and Explainable AI techniques to deliver evidence-based, personalized interventions to individuals over 65 suffering or at risk of hearing loss, cardiovascular disease, cognitive impairments, balance disorders, or mental health issues, while supporting efficient remote monitoring and clinician-driven guidance. As part of the SMART BEAR integrated project, this platform has been developed to support its large-scale clinical trials. The platform consists of a standards-based data harmonization and management layer, as well as a security component, a Big Data Analytics system, a Clinical Decision Support system, and a dashboard component to facilitate efficient data collection across pilot sites. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Artificial intelligence

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Correction to: Clustering analysis of tumor metabolic networks

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BMC bioinformatics 2020年第1期21卷 494页

作者： Ichcha Manipur Ilaria Granata Lucia Maddalena Mario R Guarracino Institute for High-Performance Computing and Networking National Research Council Via P. Castellino 111 80131 Naples Italy. Institute for High-Performance Computing and Networking National Research Council Via P. Castellino 111 80131 Naples Italy. mario.guarracino@cnr.it. HSE - National Research University Higher School of Economics LATNA Laboratory 13 Rodionova Ulitsa Nizhny Novgorod Russia. mario.guarracino@cnr.it.

An amendment to this paper has been published and can be accessed via the original article.

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A web-oriented software for the optimization of pooled experiments in NGS for detection of rare mutations Bioinformatics

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BMC Research Notes 2016年第1期9卷 1-7页

作者： Evangelista, Daniela Zuccaro, Antonio Lančinskas, Algirdas Žilinskas, Julius Guarracino, Mario R. LabGTP (Laboratory of Genomics) Transcriptomics and Proteomics) Institute for High Performance Computing and Networking (ICAR) National Research Council (CNR) Via Pietro Castellino 111 Naples Campania 80131 Italy Department of Computer Science University of Naples Parthenope Via Amm. F. Acton Naples 80133 Italy Institute of Mathematics and Informatics Vilnius University Akademijos 4 Vilnius 08663 Lithuania

Background: The cost per patient of next generation sequencing for detection of rare mutations may be significantly reduced using pooled experiments. Recently, some techniques have been proposed for the planning of pooled experiments and for the optimal allocation of patients into pools. However, the lack of a user friendly resource for planning the design of pooled experiments forces the scientists to do frequent, complex and long computations. Results: OPENDoRM is a powerful collection of novel mathematical algorithms usable via an intuitive graphical user interface. It enables researchers to speed up the planning of their routine experiments, as well as, to support scientists without specific bioinformatics expertises. Users can automatically carry out analysis in terms of costs associated with the optimal allocation of patients in pools. They are also able to choose between three distinct pooling mathematical methods, each of which also suggests the optimal configuration for the submitted experiment. Importantly, in order to keep track of the performed experiments, users can save and export the results of their experiments in standard tabular and charts contents. Conclusion: OPENDoRM is a freely available web-oriented application for the planning of pooled NGS experiments, available at: Http://***/OPENDoRM. Its easy and intuitive graphical user interface enables researchers to plan theirs experiments using novel algorithms, and to interactively visualize the results. © 2016 Evangelista et al.

关键词： high-throughput data Next generation sequencing Pooled experiments Rare mutation

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Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019

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Nature communications 2025年第1期16卷 4235-4235页

作者： Cecilia Anza-Ramirez J. Jaime Miranda Benedetta Armocida Jorge César Correia Harriette Gillian Christine Van Spall David Beran Amirali Aali Kalkidan Hassen Abate Semagn Mekonnen Abate Cristiana Abbafati Mohsen Abbasi-Kangevari Zeinab Abbasi-Kangevari Zahra Aryan Sina Azadnajafabad Mohammadreza Azangou-Khyavy Seyyed-Hadi Ghamari Mohammad Keykhaei Javad Khanali Sara Momtazmanesh Fateme Montazeri Shayan Rahmani Mohammad-Mahdi Rashidi Nazila Rezaei Negar Rezaei Sahar Saeedi Moghaddam Hossein Hassanian-Moghaddam Ali-Asghar Kolahi Ali Nikoobar Hedayat Abbastabar Ahmed M. Abdel-Azeem Michael Abdelmasseh Juan Sanabria Sherief Abd-Elsalam Ahmed Abdelwahab Gholamreza Abdoli Mohammad Abdollahi Meriem Abdoun Deldar Morad Abdulah Abu Yousuf Md Abdullah Ame Mehadi Abdurehman Getachew Abebe Aidin Abedi Chirag P. Doshi Vida Abedi Hassan Abidi Richard Gyan Aboagye Hassan Abolhassani Nima Rezaei Lucas Guimarães Abreu Michael R. M. Abrigo Yonas Derso Abtew Hiwa Abubaker Ali Eman Abu-Gharbieh Hiba Jawdat Barqawi Rabih Halwani Maha Mohamed Saber-Ayad Iman M. Talaat Ahmed Abu-Zaid Manfred Mario Kokou Accrombessi Juan Manuel Acuna Denberu Eshetie Adane Tigist Demssew Adane Isaac Yeboah Addo Giovanni Addolorato Oluwafemi Atanda Adeagbo Victor Adekanmbi Miracle Ayomikun Adesina Isaac Iyinoluwa Olufadewa Olatunji O. Adetokunboh Daniel Adedayo Adeyinka Qorinah Estiningtyas Sakilah Adnani Aanuoluwapo Adeyimika Afolabi Olayinka Stephen Ilesanmi Muhammad Sohail Afzal Saira Afzal Gina Agarwal Prerna Agarwal Pradyumna Agasthi Anurag Agrawal Marcela Agudelo-Botero Adolfo Martinez-Valle Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Sohail Ahmad Tauseef Ahmad Ali Ahmadi Siamak Sabour Keivan Ahmadi Sanjay Basu Sepideh Ahmadi Ali Ahmed Shaun Wen Huey Lee Ayman Ahmed Haroon Ahmed Jivan Qasim Ahmed Gahin Abdulraheem Tayib Yahya Yahya Luai A. Ahmed Iffat Elbarazi Syed Mahboob Shah Janardhana P. Aithala Marjan Ajami Budi Aji Hossein Akbarialiabad Yibeltal Akelew Meisam Akhlaghdoust Elham Jamshidi Addis Aklilu Azene Tesfaye Melat Woldemariam Maxwell Ak CRONICAS Center of Excellence in Chronic Diseases Universidad Peruana Cayetano Heredia Lima Peru School of Medicine Universidad Peruana Cayetano Heredia Lima Peru Sydney School of Public Health Faculty of Medicine and Health University of Sydney Sydney NSW Australia Faculty of Epidemiology and Population Health London School of Hygiene & Tropical Medicine London UK Division of Tropical and Humanitarian Medicine University of Geneva Geneva Switzerland Department of Cardiovascular Endocrine-metabolic Diseases and Aging Istituto Superiore di Sanità Rome Italy Division of Endocrinology Diabetology Nutrition and Therapeutic Patient Education Department of Medicine Geneva University Hospitals Geneva Switzerland Department of Medicine and Department of Health Research Evidence and Impact McMaster University Hamilton ON Canada Research Institute of St. Joe’s Hamilton ON Canada Population Health Research Institute Hamilton Canada Geneva University Hospitals Geneva Switzerland Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran Department of Nutrition and Dietetics Jimma University Jimma Ethiopia Anesthesiology Department Dilla University Addis Ababa Ethiopia Department of Juridical and Economic Studies La Sapienza University Rome Italy Non-Communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Brigham and Women’s Hospital Harvard University Boston MA USA Students’ Scientific Research Center (SSRC) Tehran University of Medical Sciences Tehran Iran School of Medicine Tehran University of Medical Sciences Tehran Iran School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran Endocrinology and Metabolism Research Institute Tehran University of Medical Sciences Tehran Iran Chapter of Addiction Medicine University of Sydney Sydney NSW Australia Advanced Diagnostic and Intervent

Chronic care manages long-term, progressive conditions, while acute care addresses short-term conditions. Chronic conditions increasingly strain health systems, which are often unprepared for these demands. This study examines the burden of conditions requiring acute versus chronic care, including sequelae. Conditions and sequelae from the Global Burden of Diseases Study 2019 were classified into acute or chronic care categories. Data were analysed by age, sex, and socio-demographic index, presenting total numbers and contributions to burden metrics such as Disability-Adjusted Life Years (DALYs), Years Lived with Disability (YLD), and Years of Life Lost (YLL). Approximately 68% of DALYs were attributed to chronic care, while 27% were due to acute care. Chronic care needs increased with age, representing 86% of YLDs and 71% of YLLs, and accounting for 93% of YLDs from sequelae. These findings highlight that chronic care needs far exceed acute care needs globally, necessitating health systems to adapt accordingly. © 2025. The Author(s).

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A PCIe DMA engine to support the virtualization of 40 Gbps FPGA-accelerated network appliances

A PCIe DMA engine to support the virtualization of 40 Gbps F...

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International Conference on ReConFigurable computing and FPGAs, ReConFig 2015

作者： Zazo, Jose Fernando Lopez-Buedo, Sergio Audzevich, Yury Moore, Andrew W. NAUDIT HPCN Calle Faraday 7 Madrid28049 Spain High-Performance Computing and Networking Research Group Universidad Autonoma de Madrid Ciudad Universitaria de Cantoblanco Madrid28049 Spain Computer Laboratory University of Cambridge 15 JJ Thomson Avenue CambridgeCB3 0FD United Kingdom

ISBN: (纸本)9781467394062

Network Function Virtualization (NFV) allows creating specialized network appliances out of general-purpose computing equipment (servers, storage, and switches). In this paper we present a PCIe DMA engine that allows boosting the performance of virtual network appliances by using FPGA accelerators. Two key technologies are demonstrated, SR-IOV and PCI Passthrough. Using these two technologies, a single FPGA board can accelerate several virtual software appliances. The final goal is, in an NFV scenario, to substitute conventional Ethernet NICs by networking FPGA boards (such as NetFPGA SUME). The advantage of this approach is that FPGAs can very efficiently implement many networking tasks, thus boosting the performance of virtual networking appliances. The SR-IOV capable PCIe DMA engine presented in this work, as well as its associated driver, are key elements in achieving this goal of using FPGA networking boards instead of conventional NICs. Both DMA engine and driver are open source, and target the Xilinx 7-Series and UltraScale PCIe Gen3 endpoint. The design has been tested on a NetFPGA SUME board, offering transfer rates reaching 50 Gb/s for bulk transmissions. By taking advantage of SR-IOV and PCI Passthrough technologies, our DMA engine provides transfers rate well above 40 Gb/s for data transmissions from the FPGA to a virtual machine. We have also identified the bottlenecks in the use of virtualized FPGA accelerators caused by reductions in the maximum read request size and maximum payload PCIe parameters. Finally, the DMA engine presented in this paper is a very compact design, using just 2% of a Xilinx Virtex-7 XC7VX690T device. © 2015 IEEE.

关键词： Field programmable gate arrays (FPGA)

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A PCIe DMA engine to support the virtualization of 40 Gbps FPGA-accelerated network appliances

A PCIe DMA engine to support the virtualization of 40 Gbps F...

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International Conference on Reconfigurable computing and FPGAs (ReConFig)

作者： Jose Fernando Zazo Sergio Lopez-Buedo Yury Audzevich Andrew W. Moore NAUDIT HPCN Madrid Spain High-Performance Computing and Networking Research Group Ciudad Universitaria de Cantoblanco Madrid Spain Computer Laboratory University of Cambridge Cambridge United Kingdom

关键词： Field programmable gate arrays Home appliances Software Virtual machining Engines Hardware Acceleration

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TNT10G: A high-accuracy 10 GbE traffic player and recorder for multi-Terabyte traces

TNT10G: A high-accuracy 10 GbE traffic player and recorder f...

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2014 International Conference on Reconfigurable computing and FPGAs, ReConFig 2014

作者： Zazo, Jose Fernando Forconesi, Marco Lopez-Buedo, Sergio Sutter, Gustavo Aracil, Javier NAUDIT HPCN Calle Faraday 7 Madrid28049 Spain Computer Laboratory University of Cambridge 15 JJ Thomson Avenue CambridgeCB3 0FD United Kingdom High-Performance Computing and Networking Research Group Universidad Autonoma de Madrid Ciudad Universitaria de Cantoblanco Madrid28049 Spain

ISBN: (纸本)9781479959440

In this paper we present TNT10G (multi-Terabyte trace Network Tester), an FPGA-based tool for replaying and capturing massive Ethernet traces at 10 Gb/s. The tool is capable of reproducing and storing terabytes of network traffic at line rate, even if small packets are being used. Moreover, since the design works at low level (XGMII), accuracy is better than 10 ns, and it is also possible to observe and generate anomalous conditions, such as malformed frames, FCS errors, or illegal inter-frame gaps. All such features make TNT10G a truly useful tool for network testing and monitoring at 10 Gb/s. The design uses the NetFPGA-10G platform, although it could be easily ported to other boards since it uses standard AXI buses. The key element to achieve line-rate operation is a custom-developed Linux driver, which works in conjunction with a high-speed DMA backend core from Northwest Logic. Such blocks, together with a RAID0 array of commodity SSD disks, enable operation at 10 Gb/s. Finally, the use of a low-cost academic board together with off-the-shelf components allows for an open, extensible and cost-effective solution, a unique combination not found in commercial products. © 2014 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Extremal Optimization with Guided State Changes in Load Balancing of Distributed Programs

Extremal Optimization with Guided State Changes in Load Bala...

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Euromicro Conference on Parallel, Distributed and Network-Based Processing

作者： Ivanoe De Falco Eryk Laskowski Richard Olejnik Umberto Scafuri Ernesto Tarantino Marek Tudruj Institute of Computer Science PAS Warsaw Poland Computer Science Laboratory of Lille University of Sciences and Technologies of Lille France CNR Institute of High Performance Computing and Networking Naples Italy

The paper concerns methods for using Extremal Optimization (EO) for processor load balancing during execution of distributed programs. A load balancing algorithm for clusters of multicore processors is presented and discussed. In this algorithm the EO approach is used to periodically detect the best tasks as candidates for migration and for a guided selection of the best processors to receive the migrated tasks. To decrease the complexity of selection for migration, we propose a guided EO algorithm which assumes a two step stochastic selection during the solution improvement based on two separate fitness functions. The functions are based on specific program models which estimate relations between the programs and the executive hardware. The proposed load balancing algorithm is assessed by experiments with simulated load balancing of distributed program graphs. The algorithm is compared against an EO - based algorithm with random placement of migrated tasks and a classic genetic algorithm.

关键词： Load management Genetic algorithms Heuristic algorithms Optimization Measurement Monitoring Instruction sets

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TNT10G: A high-accuracy 10 GbE traffic player and recorder for multi-Terabyte traces

TNT10G: A high-accuracy 10 GbE traffic player and recorder f...

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International Conference on Reconfigurable computing and FPGAs (ReConFig)

作者： Jose Fernando Zazo Marco Forconesi Sergio Lopez-Buedo Gustavo Sutter Javier Aracil NAUDIT HPCN Madrid Spain Computer Laboratory University of Cambridge Cambridge United Kingdom High-Performance Computing and Networking Research Group Universidad Autonoma de Madrid Ciudad Universitaria de Cantoblanco Madrid Spain

关键词： Field programmable gate arrays Software Hardware IP networks Clocks Random access memory Accuracy

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Load balancing in distributed applications based on extremal optimization 1

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16th European Conference on Applications of Evolutionary Computation, EvoApplications 2013

作者： De Falco, Ivanoe Laskowski, Eryk Olejnik, Richard Scafuri, Umberto Tarantino, Ernesto Tudruj, Marek Institute of High Performance Computing and Networking CNR Naples Italy Institute of Computer Science Polish Academy of Sciences Warsaw Poland Computer Science Laboratory University of Science and Technology of Lille France Polish-Japanese Institute of Information Technology Warsaw Poland

ISBN: (数字)9783642371929

ISBN: (纸本)9783642371912

The paper shows how to use Extremal Optimization in load balancing of distributed applications executed in clusters of multicore processors interconnected by a message passing network. Composed of iterative optimization phases which improve program task placement on processors, the proposed load balancing method discovers dynamically the candidates for migration with the use of an Extremal Optimization algorithm and a special quality model which takes into account the computation and communication parameters of the constituent parallel tasks. Assessed by experiments with simulated load balancing of distributed program graphs, a comparison of the proposed Extremal Optimization approach against a deterministic approach based on a similar load balancing theoretical model is provided. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Message passing

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