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July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
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The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.
July 13, 2026
Biologists Discover Unique Properties of MiR-93-5p MicroRNA in Prostate Cancer
Researchers at the International Laboratory of Microphysiological Systems of the HSE Faculty of Biology and Biotechnology investigated how different isoforms of the same microRNA influence gene function in prostate adenocarcinoma. The study found that in some cases, microRNAs can reinforce each other’s effects by targeting and suppressing the same genes. This finding offers a fresh perspective on the molecular mechanisms underlying tumour development and on the search for disease biomarkers. The results have been published in PeerJ.

 

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Validity evidence of the internal structure of the DAACS Self-Regulated Learning Survey.

Future Review: International Journal of Transition, College, and Career Success. 2018. Vol. 1. No. 1. P. 1–18.
Lui A., Franklin D., Akhmedjanova D., Gorgun G., Bryer J., Andrade H., Cleary T.

The Diagnostic Assessment and Achievement of College Skills (DAACS) online system assesses newly
enrolled college students’ skills in reading, writing, mathematics, and self-regulated learning, and
provides individualized feedback and links to resources. The purpose of this study is to examine validity
evidence regarding the internal structure of the DAACS Self-Regulated Learning (SRL) self-report
survey. Factor structure was initially examined using maximum-likelihood exploratory factor analysis
with varimax rotation on a pilot sample (n = 682). Based on the results, as well as the intended uses of the
survey and expert opinion, two confirmatory factor analysis models were tested: the measurement model,
and the instructional model. Validity evidence regarding the survey’s internal structure were gathered
using a new sample of 6,644 adult learners at an online university. The confirmatory factor analysis
results, correlations, and internal consistency reliability estimates suggested acceptable model fit for both
the measurement and instructional models. Both models were retained to serve different purposes.

Research target: Education Psychology
Language: English
Keywords: reliabilitymotivationconfirmatory factor analysisconstruct validitymetacognitionself-regulated learningexploratory factor analysis
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