Siberian Federal University

Microfluidic Evaluation of Oil Recovery Efficiency Using Magnesium Oxide Nanoparticle Suspensions Synthesized by Sol–Gel Method

For the first time, a systematic study was conducted on the properties and colloidal stability of suspensions containing synthesized MgO nanoparticles. The nanoparticles were synthesized using hydroquinone as a chelating agent. This approach ensured the formation of an ultradispe...

Methodology for assessing the contribution of software products from residents of the Innopolis SEZ to ensuring the technological sovereignty of the Russian Federation

The massive withdrawal of foreign IT companies from the Russian market in 2022-2025 has set the government the task of replacing foreign software with domestic products. One of the leading platforms for the development of import-substituting software in the Russian Federation is...

Heat pumps for high-temperature industrial applications: low-global warming potential (GWP) working fluids and statistical thermodynamic modelling

The industrial sector requires scalable decarbonization strategies to address high-temperature heat demand and reduce reliance on fossil fuels. This study presents a predictive thermodynamic and economic modeling framework to evaluate the integration of high-temperature heat pump...

Reassessment of a cosmic ray increase event in 1279/1280 CE using carbon-14 records of tree rings.

Extreme solar energetic particle events (ESPEs) rarely occur on the Sun, as known from cosmogenic isotope proxies, the primary being 14C measured in tree rings. Several such events have been identified in tree-ring 14C data as sharp spikes. The most recent spike, around 1279 CE,...

Resilience and re-establishment of sulfide- and redox-structured microbial networks after holomixis in a meromictic lake

Land-locked meromictic lakes sustain persistent redox stratification that structures microbial niches and sulfur–nitrogen–carbon cycling. Whole-lake overturns are unusual in such systems, and the temporal dynamics of microbial community re-establishment and functional recovery du...

A Computational Study of the Efficiency of Using Low-Concentration Nanoemulsions with Diesel Fuel to Enhance Oil Recovery

The article presents the results of systematic numerical studies on the efficacy of low- concentration nanoemulsions for enhanced oil recovery. A series of computational investigations was conducted to examine the displacement regimes of oil from digital core models with varying...

Enhancing knowledge of non-target tortricid fauna via pheromone monitoring of the quarantine fruit pest Grapholita molesta (Lepidoptera: Tortricidae) in Russia

The oriental fruit moth, Grapholita molesta (Busck, 1916), is an East Asian fruit pest that has spread to both hemispheres causing significant economic losses. In some countries, including Russia, it is considered a quarantine species which occurence and spread are monitored usin...

Enhancing knowledge of non-target tortricid fauna via pheromone monitoring of the quarantine fruit pest Grapholita molesta (Lepidoptera: Tortricidae) in Russia

The oriental fruit moth, Grapholita molesta (Busck, 1916), is an East Asian fruit pest that has spread to both hemispheres causing significant economic losses. In some countries, including Russia, it is considered a quarantine species which occurence and spread are monitored usin...

Starch as a Polymer-Based Medium Modifier to Analyze Enzyme Activity under Conditions Close to Intracellular Media: Butyrylcholinesterase as a Model Enzyme

Abstract The study demonstrates the possibility of using starch to model macromolecular crowding and intracellular medium. A kinetic approach is used to reveal specific functioning of butyrylcholinesterases from different sources in the starch medium. In the study solutions, the...

Is There a Best Hypergraph Neural Network? A Significance-Aware Recomputation and Statistical Audit of DHG-Bench

Deep hypergraph learning is evaluated almost entirely through leaderboards that rank methods by mean accuracy over a few random seeds, usually without significance testing. Is there a best hypergraph neural network, or does the apparent ordering reflect seed noise? We independent...