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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Detection of Low-Abundant MicroRNAs with Hybridization Microchips

Bulletin of Experimental Biology and Medicine. 2019. Vol. 166. No. 6. P. 788–792.
Shkurnikov M. Yu., Knyazev E. N., Fomicheva K. A., Kasatkin M. S., Arkov V. V., Makarova Yu. A.

The effect of low concentrations of miRNA on the ability of GeneChip miRNA 4.0 hybridization chips to evaluate their representation in the sample was studied. It is shown that the evaluation of the expression of 61 miRNAs is statistically significantly associated with the multiplicity of plasma dilution. Only 12 miRNAs showed very high Pearson correlation coefficient (>0.95) and they all decreased in response to dilution. High abundance of has-miR-4532 miRNA in plasma was demonstrated. This miRNA was never detected during sequencing of similar samples. It was concluded that in case of miRNA expression <1.12±0.33 units in log2 scale, dilution was not followed by further decrease in the signal intensity in GeneChip miRNA 4.0 chips.

Research target: Clinical Medicine Medical Biotechnologies Biology
Language: English
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Keywords: sensitivitymiRNAhybridization chips
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