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News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Ranking and Cyclic Job Scheduling in QoS-Guaranteed Grids

P. 505–514.
Toporkov V., Toporkova Anna, Tselishchev A., Yemelyanov D., Potekhin P.

In this work, we describe approaches to creation of a ranked jobs framework within the model of cycle scheduling in Grid virtual organizations with such quality of service (QoS) indicators as an average job execution time and a number of required scheduling cycles. Two methods for job selection and scheduling are proposed and compared: the first one is based on the knapsack problem solution, while the second one introduces a heuristic parameter of job and computational resources “compatibility”. Along with these methods we present experimental results demonstrating the efficiency of proposed approaches and compare them with random job selection.

Language: English
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Keywords: планированиезаданиевиртуальные организацииschedulingjobvirtual organizationsbatchquality of serviceknapsack problemкачество обслуживанияGridзадача о рюкзакеflowМЕНЕДЖЕР РЕСУРСОВresource managementпакет заданийгридпоток заданий

In book

Theory and Engineering of Complex Systems and Dependability Proceedings of the Tenth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, June 29 – July 3 2015, Brunów, Poland
Theory and Engineering of Complex Systems and Dependability Proceedings of the Tenth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, June 29 – July 3 2015, Brunów, Poland
Vol. 365: Advances in Intelligent Systems and Computing . , Dordrecht, L., Cham, Heidelberg, NY: Springer, 2015.
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