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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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MPTP Mouse Model of Preclinical and Clinical Parkinson's Disease as an Instrument for Translational Medicine

Molecular Neurobiology. 2018. P. 1–16.
Ugrumov M.

Parkinson’s disease (PD) is characterized by the appearance of motor symptoms many years after the onset of neurodegeneration, which explains low efficiency of therapy. Therefore, one of the priorities in neurology is to develop an early diagnosis and preventive treatment of PD, based on knowledge of molecular mechanisms of neurodegeneration and neuroplasticity in the nigrostriatal system. However, due to inability to diagnose PD at preclinical stage, research and development must be performed in animal models by comparing the nigrostriatal system in the models of asymptomatic and early symptomatic stages of PD. In this study, we showed that despite the progressive loss of neurons in the substantia nigra at the presymptomatic and symptomatic stage, almost no change was observed in the main functional characteristics of this brain region, including dopamine (DA) uptake and release, dopamine transporter (DAT) and vesicular monoamine transporter 2 (VMAT2) expression, and activity of MAO-A and MAO-B. In the striatum of presymptomatic mice, some parameters (DA release and uptake, MAO-A activity) remained compensatory unchanged or compensatory decreased (MAO-B gene expression and activity), while others—a reduction in DA levels in tissue and extracellular space and in VMAT2 and DAT expression—manifest the functional failure. In symptomatic mice, only a few parameters (spontaneous DA release and uptake, MAO-B gene expression and activity) remained at the same level as at presymptomatic stage, while most parameters (DA level in tissue and extracellular space, DA-stimulated release, VMAT2 and DAT contents), decreased, showing decompensation, which was enhanced by increasing MAO-A activity. Thus, this study provides a comprehensive assessment of the molecular mechanisms of neuroplasticity in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine models of preclinical and clinical stages of PD, which could potentially serve as a powerful tool for translational medicine.

Research target: Medical Biotechnologies
Priority areas: humanitarian
Language: English
DOI
Text on another site
Keywords: NeurologyParkinson’s diseasedopamineneurodegeneration
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