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.
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.
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.
Sivkina A., Karlova M., McCullough L. et al., Communications Biology 2022 Vol. 5 No. 1 Article 2
FACT is a histone chaperone that participates in nucleosome removal and reassembly during transcription and replication. We used electron microscopy to study FACT, FACT:Nhp6 and FACT:Nhp6:nucleosome complexes, and found that all complexes adopt broad ranges of configurations, indicating high flexibility. We found unexpectedly that the DNA binding protein Nhp6 also binds to the C-terminal tails ...
Maltseva D., Tonevitsky A., Gabibov A., Molecules 2017 Vol. 22 No. 5 P. E808
Astrocytes are considered to be an important contributor to central nervous system (CNS) disorders, particularly multiple sclerosis. The transcriptome of these cells is greatly affected by cytokines released by lymphocytes, penetrating the blood–brain barrier—in particular, the classical pro-inflammatory cytokine interferon-gamma (IFNγ). We report here the transcriptomal profiling of astrocytes treated using IFNγ and benztropine, a putative ...
Shchebetenko S., Semyonova P. I., Психология. Журнал Высшей школы экономики 2011 Т. 8 № 3 С. 130–138
В статье показана возможность предсказания посредством суточного локуса спада-подъема в деятельности медицинских работников в течение рабочей смены. Кратко рассматриваются предпосылки исследования. В исследовании приняли участие 189 медицинских работников Перми. Была разработана самоотчетная Шкала суточного локуса, продемонстрировавшая приемлемую внутреннюю согласованность, дивергентную и предиктивную валидность. Показано, что суточный локус опосредует эффект интернальности в производственных отношениях на суточный ...
Kudriaeva A., Galatenko VV, Maltseva D. et al., Molecules 2017 Vol. 22 No. 5 P. 808-1–808-9
Astrocytes are considered to be an important contributor to central nervous system (CNS) disorders, particularly multiple sclerosis. The transcriptome of these cells is greatly affected by cytokines released by lymphocytes, penetrating the blood-brain barrier-in particular, the classical pro-inflammatory cytokine interferon-gamma (IFNγ). We report here the transcriptomal profiling of astrocytes treated using IFNγ and benztropine, a ...