Basic Technology Research Articles

Topic identification and content analysis of internet medical policies under the background of Healthy China 2030.

This study aims to analyse the content of internet medical policies, grasp the inherent laws of the development of internet medical policies and provide references for improving the policy system. On the basis of web crawler technology, 436 internet medical policies issued by the central and local governments after the Healthy China Strategy was proposed were collected. The BERTopic model was used to extract topics, and a comprehensive analysis of China's internet medical policy texts was conducted through the analysis of topic content, topic hierarchy and topic clusters. A total of 27 topics were identified in China's internet medical policies, mainly focussing on five topic clusters: medical service regulation, elderly nursing and children's healthcare using traditional Chinese medicine, user safety guarantees, health education and communication and infectious disease treatment and recovery guidance. Different topic contents play a role in promoting the comprehensive and standardized development of internet medical services. However, there is still room for further improvement in policy integrity, consideration of multiple types of users, and implementation effectiveness. Continuous efforts are needed to optimize the effectiveness of policies.

TA’LIMNI TRANSFORMATSIYALASHDA AXBOROTLAR BILAN ISHLASHNING PEDAGOGIK ASOSLARI

This article provides information on the method of organizing education on the basis of digital technologies, the use and renewal of various methods that achieve educational results in the digital transformation of the educational sector, as well as the process of the results achieved in the digital environment in order to fundamentally improve the education system.

Research on VR Geography Teaching Mode Based on SOLO Classification Theory

With the deepening of educational reform and the rapid development of educational technology, VR (virtual reality) technology is increasingly widely used in the field of education. In the face of various VR technology means and application paths, how to design scientifically in middle school, geography VR teaching mode has become an urgent problem to be solved. This paper aims to explore the VR geography teaching model based on SOLO classification theory, and improve the effectiveness of geography teaching and the level of students geography thinking by integrating the immersion of VR technology and the hierarchy of SOLO classification theory. This paper first introduces the theoretical basis of SOLO classification theory and VR technology, then analyzes the problems existing in current geography teaching, and finally proposes and designs the VR geography teaching mode based on SOLO classification theory, in order to guide the orderly development of VR teaching in middle school geography and improve the scientific and technological content of middle school geography teaching.

Kanamycin promotes biofilm viability of MRSA strains showing extremely high resistance to kanamycin

Staphylococcus aureus is widely distributed in environment and can cause various human infection and food poisoning cases. Also, this pathogen is a typical biofilm former, which further complicates its pathogenicity. Antibiotics have been widely used to eliminate pathogenic bacteria, but their indiscriminate use has also led to the widespread emergence of drug-resistant bacteria, such as Methicillin-Resistant Staphylococcus aureus (MRSA). In this study, the effect of antibiotics on biofilm formation of MRSA strains 875 and 184 was explored. Firstly, MRSA 875 belongs to SCCmec type IV, ST239, carrying the atl, icaA, icaD, icaBC, and aap genes, and MRSA 184 belongs to SCCmec type II, ST5, carrying the atl, icaD, icaBC, aap, and agr genes. Then, a total of 8 antibiotics have been selected, including kanamycin, gentamycin, cipprofloxacin, erythromycin, meropenem, penicillin G, tetracycline, vancomycin. Minimum inhibitory concentrations (MICs) of each antibiotic were determined, and MIC of MRSA 875 and 184 to kanamycin/gentamicin are 2048/64 μg/mL and 2048/4 μg/mL, respectively. A total of 10 concentrations, ranging from 1/128 to 4 MIC with 2-fold, were used to study biofilm formation. Biofilm biomass and viability were determined during different phases, including initial adhesion (8 h), proliferation (16 h), accumulation (24 h) and maturation (48 h). Importantly, kanamycin at specific concentrations showed significant promotion of biofilm biomass and biofilm viability, with none of such observation acquired from other antibiotics. This study provides scientific basis and new research ideas for the quality control technology of microorganisms and safety prevention of MRSA.

Modeling of fuel combustion processes in a steam boiler when replacing standard burners

To date, most of Ukraine's thermal power equipment has exhausted its factory resource and is physically and morally obsolete. One of the ways to solve this problem is to modernize it with the introduction of modern fuel-using equipment. The decisive direction in this situation is the focus on domestic technologies, which differ from imported counterparts due to better adaptability to domestic equipment, as well as a more favorable price policy for domestic manufacturers. The presented work was carried out in order to check the feasibility of replacing standard burners with burners built on the basis of jet-niche technology in power boilers, for example, such as the GМ-50 (Е-50-3,9-440GМ) steam boiler. For this, a computer model of a steam boiler and regular burners was developed. The research was carried out using the ANSYS Student software package. The application of the numerical modeling method using the ANSYS Student software complex made it possible to perform a detailed analysis of the fuel combustion process in a steam boiler, evaluate its efficiency and study the impact on environmental indicators. The object of the research was the processes that take place during the combustion of gaseous fuel and their influence on the performance indicators of the GМ-50 power boiler. The subject of the study was a CFD fuel model of the GМ-50 boiler, whose regular burners are capable of working on both liquid and gaseous fuel. Methane was used as fuel. Both regular axial burners and burners built on the basis of jet-niche technology, which are more environmentally friendly, were used as burners. Verification of the CFD model, which took place using a known analytical technique, shows that the discrepancy between the values of analytical calculations and model calculations does not exceed 6.7 %. The average temperature of flue gases in the festoon window was selected as a comparison parameter. The temperature value of 1117 С was obtained analytically. Calculation using the CFD model developed in the ANSYS-CFX environment shows that the temperature value should be 1042 С. It was determined that regular burners are less environmentally friendly than, for example, modern jet-niche ones. So, for the coefficient of excess air  = 1.2, the average value of nitrogen oxides at the fuel outlet is 187 ppm. It makes sense to replace standard burners, for example, with jet-niche ones, which are most suitable for replacing standard ones.

The innovative vector of technology–based development of shipping companies is autonomous navigation

The article is devoted to the current state of water transport, problems and prospects of its development. Special attention is paid to the innovative vector of development of shipping companies on the basis of technologies - autonomous navigation. The development of the shipping industry on the basis of autonomous navigation opens significant opportunities in the sphere of safety improvement, increase of profit by reducing the costs of maintenance of ship crews. Examples of implementation and use of remote control of a vessel using autonomous navigation means along a socially and economically significant route are given. The article studies the legal acts that came into force in 2024, fixing the legal basis for the creation of autonomous navigation, which gives the opportunity to actively develop this promising direction. It will allow water transport to be competitive, and thus one of the key sectors of the Russian economy to become a pillar for achieving its growth. Based on the study of the materials of the Russian Federation SP in the field of inland water transport development, the factors that will contribute to the efficiency of the implementation of the initiatives of socio-economic development of the Russian Federation until 2030 are proposed.

A set of Models for Device Positioning in Sixth Generation Networks. Part 1. Methods Survey and Problem Statement

Relevance. Today, terahertz radio systems are considered as a technological basis for integrating methods and means of radio communication and radar in promising sixth-generation networks. If in 4G LTE networks the capabilities of positioning user equipment using the infrastructure of base stations were considered as auxiliary options, then in 5G NR networks, location determination technologies (LDTs) have become full-fledged services, the requirements for which are specified along with communication services. A new trend in positioning in 5G NR networks, compared to 4G LTE networks, has become a single-position assessment of the coordinates and orientation of the user equipment based on signals from a single base station with the ability to distinguish between direct and reflected signals. 6G networks are still in their infancy, but it can already be stated that they mark the next stage in the evolution of digital ecosystems, which is characterized by the convergence of communication technologies, localization and sensing of radio air and the surrounding space by radio engineering means.Purpose. This work opens a research cycle devoted to the review of models, methods and algorithms for positioning devices in 6G networks. The goal of the cycle is to find and justify new radio engineering means for achieving decimeter accuracy in 6G device coordinate estimates. The first part of the cycle provides an overview of the methods and formalization of the model for collecting primary measurements.Method is an analytical review of the state of the problem based on current scientific publications, conceptual modeling, categorical approach, expert combination, comparative analysis, formalization, mathematical and simulation modeling.Results. As a result of the review of device positioning methods during the transition to 6G networks, key performance indicators and LDT scenarios are updated. As a result of the comparative analysis of 5G and 6G networks, new factors, advantages and disadvantages of positioning technologies during the transition from millimeter wave networks to terahertz networks are systematized. A formalized mathematical model for collecting primary measurements is used in the simulation model for assessing the accuracy of device positioning in the second part of the cycle.Novelty. This cycle is the first such study in the Russian scientific segment on network positioning of the sixth generation of the terahertz range, in which the author's version provides an overview of methods and a systematization of a set of new factors of the OMP in communication networks.The theoretical significance of the review-analysis lies in the establishment of both technological obstacles and new opportunities for increasing positioning accuracy during the transition to 6G networks.The practical significance of the formalized mathematical model lies in its subsequent software implementation for numerical justification of the limits of positioning accuracy in 6G networks.

A generalized adsorption model of CO2-CH4 in shale based on the improved Langmuir model

CO2 enhanced shale gas recovery (CO2-ESGR), as one of the most promising carbon capture, utilization and storage (CCUS) technologies, can both improve the shale gas production for clean energy supply and mitigate greenhouse gas emissions for the goal of carbon neutrality. The adsorption characteristics of CO2 and CH4 in shale play a key role in the reserve assessment of shale gas and the implementation of CO2-ESGR. The problem of accurate prediction of the adsorption and competitive adsorption characteristics of CO2 and CH4 in shale is still one of the main challenges for CO2-ESGR. To bridge the gap, this work developed a generalized prediction model for the adsorption properties of CH4, CO2, and their mixed gas in shale by improving the Langmuir model, covering a large range of temperature, pressure, and total organic carbon content (TOC). The mathematical models for the key parameters of the Langmuir model, the saturated adsorption capacity Q0 and Langmuir pressure PL, were built for the single-component gas based on their functional relationship with temperature and TOC, and for the mixed gas based on their relationship with Q0 and PL of the single-component gas and CO2 content. Then an improved Langmuir model for the adsorption properties of CO2-CH4 in shale was established. The accuracy of the improved model was verified with a relative deviation below 5 % in a large range of temperature (303–363 K), pressure (0–15 MPa) and TOC (1.06 %-3.83 %) by comparing the calculated adsorption with the experimental data. This generalized adsorption model not only ensures the prediction accuracy of CO2-CH4 adsorption characteristics in shale but also expands its application convenience in a large range of temperatures, pressures and TOC, providing a certain theoretical basis for CO2-ESGR technology.

Single molecule measurements of microRNAs in the serum of patients with pulmonary tuberculosis.

microRNAs (miRNAs) were recognized as a promising source of diagnostic biomarker. Herein, we aim to evaluate the performance of an ultrasensitive method for detecting serum miRNAs using single molecule arrays (Simoa). In this study, candidate miRNAs were trained and tested by RT-qPCR in a cohort of PTB patients. Besides that, ultrasensitive serum miRNA detection were developed using the Single Molecule Array (Simoa) platform. In this ultra-sensitive sandwich assay, two target-specific LNA-modified oligonucleotide probes can be simply designed to be complementary to the half-sequence of the target miRNA respectively. We characterized its analytical performance and measured miRNAs in the serum of patients with pulmonary tuberculosis and healthy individuals. We identified a five signature including three upregulated (miR-101, miR-196b, miR-29a) and two downregulated (miR-320b, miR-99b) miRNAs for distinguishing PTB patients from HCs, and validated in our 104 PTB patients. On the basis of Simoa technology, we developed a novel, fully automated digital analyser, which can be used to directly detect miRNAs in serum samples without pre-amplification. We successfully detected miRNAs at femtomolar concentrations (with limits of detection [LODs] ranging from 0.449 to 1.889 fM). Simoa-determined serum miR-29a and miR-99b concentrations in patients with PTB ((median 6.06 fM [range 0.00-75.22]), (median 2.53 fM [range 0.00-24.95]), respectively) were significantly higher than those in HCs ((median 2.42 fM [range 0.00-28.64]) (P < 0.05), (median 0.54 fM [range 0.00-9.12] (P < 0.0001), respectively). Serum levels of miR-320b were significantly reduced in patients with PTB (median 2.11 fM [range 0.00-39.30]) compared with those in the HCs (median 4.76 fM [range 0.00-25.10]) (P < 0.001). A combination of three miRNAs (miR-29a, miR-99b, and miR-320b) exhibited a good capacity to distinguish PTB from HCs, with an area under the curve (AUC) of 0.818 (sensitivity: 83.9%; specificity: 79.7%). This study benchmarks the role of Simoa as a promising tool for monitoring miRNAs in serum and offers considerable potential as a non-invasive platform for the early diagnosis of PTB.

SCIENCES IN PHYSICSMETHODICAL MEANS OF DEVELOPING KNOWLEDGE ABOUT ENERGY-EFFICIENT TECHNOLOGIES BASED ON INTEGRATION

Energy-saving technologies are becoming a critical component to help address the growing challenges of climate change, environmental degradation, and energy security. In this context, the integration of different sciences in physics is a fundamental approach to developing knowledge in this field. This article discusses methodological means of developing knowledge about energy-saving technologies by integrating physics with other scientific disciplines such as material science, thermodynamics, and engineering. This paper presents case studies of energy-saving technologies that use photonics, thermoelectric materials, nanotechnology, and smart energy systems to demonstrate how such methods can aid in adaptation and mitigation efforts while providing a scientific basis for sustainable technologies. Furthermore, this article outlines the critical role of interdisciplinary collaborations among scientists from different scientific disciplines in advancing research and development of sustainable energy technologies.

Experiments on waste heat thermoelectric generator for power transformer and its field application

Abstract Huge waste heat is dissipating from massive power transformers, and recovering such waste heat for power generation and heating purpose attracts attentions of power sectors and scientists. This study demonstrates the possibility of cogeneration of electric power and domestic hot water on the basis of thermoelectric technology. A thermoelectric generator (TEG) unit with 48 TE modules (TEMs) is designed and tested. Experiments showed that an electric power of 13.2 W is generated by the abovementioned TEG unit when the hot-/cold-liquid temperatures are 348.3.0 K and 297.4 K, respectively. Two waste heat TEGs with 80 units, incorporated with a total number of 3840 TEMs, is designed for a 50,000 kVA power transformer in Huzhou city (Zhejiang, China). Field tests indicate that over 800 W of electric power and 200 kW of hot water are cogenerated. The annual energy saving rate is over 173 tce based on the energy reference coefficients of 0.305 kgce/kWh for electricity and 0.0341 kgce/MJ for heating power, respectively. The abovementioned energy saving rate corresponds to a payback period less than 2 years.

Investigation on the fatigue properties of adhesives for acoustic transducers in deep logging wells

Abstract Deep well exploration of oil and gas resources requires acoustic transducers that can withstand temperatures above 200 degrees. It is particularly important to overcome the key technology of high-temperature dipole transmitters. The bonding strength of the dipole transmitters with a tri-laminar structure is studied numerically and experimentally. Transducers were prepared using structural adhesives. The aging and fatigue test is conducted at a high temperature of 200 degrees. The aging lasted for 15 hours and the strong electric field fatigue cycle number reached up to 36000. The conductivity curve remains almost unchanged after the high-temperature test. The work provides an application basis for deep acoustic logging technology.

Engineering of Co/MgO interface with combination of ultrathin heavy metal insertion and post-oxidation for voltage-controlled magnetic anisotropy effect

The voltage-controlled magnetic anisotropy (VCMA) effect in ferromagnet/insulator junctions provides an effective way to manipulate electron spins, which can form the basis of future magnetic memory technologies. Recent studies have revealed that the VCMA effect can be strongly tuned by a process of “interface engineering” exploiting ultrathin heavy metal layers and an electron depletion effect. To further decrease the numbers of electrons, chemical reactions, such as surface oxidation of ferromagnets, may also be an effective way to achieve this depletion. However, the knowledge of combined effect of heavy metal layers and oxidation is still lacking. Here, we demonstrate that dual interfacial engineering using an insertion of heavy metals (Pt or Re) and a post-oxidation process can have a remarkable effect on the perpendicular magnetic anisotropy and the VCMA effect. Interestingly, a strong enhancement of the perpendicular magnetic anisotropy is observed by dual interfacial engineering with Pt insertion, although it does not occur with Pt insertion or surface oxidation alone. Furthermore, even a sign reversal of the additional VCMA effect due to the ultrathin heavy metal layers is observed by utilizing dual interfacial engineering. These findings provide another degree of freedom for designing voltage-controlled spintronic devices and pave the way to interfacial spin–orbit engineering for the VCMA effect.

LC-MS based strategy for chemical profiling and quantification of dispensing granules of Ginkgo biloba seeds

Ginkgo biloba seeds have been used as a traditional Chinese medicine for hundreds of years to treat diseases such as cervicitis, cough, asthma and other lung diseases. As a novel form, the dispensing granules (GSDG) of Ginkgo biloba seeds have been widely employed in clinic. However, its chemical profiling is not yet clear, which has restricted in-depth research in many fields.In this study, a high performance liquid chromatography coupled with quardrupole time-of-flight mass spectrometry method was used for the component characteration with the help of accurate molecular weights, fragmentation pathways, reported data, literatures and even some reference standards. Furthermore, in multiple-reaction monitoring mode, a high performance liquid chromatography coupled with quadrupole linear ion trap mass spectrometry method was developed and applied for simultaneous determination of the bioactive phytochemicals.As a result, a total of 56 components in GSDG were identified including 12 amino acids, 9 organic acids, 6 nucleosides and nucleobases, 6 flavonoids, 5 vitamins, 5 terpenoid lactones, 4 carbohydrates and 9 other compounds As for quantitative analysis, glutamic acid, asparatic acid, histidine, ginkgolide A, ginkgolide B, ginkgolide C, ginkgolide J, eucomic acid, N-(N-glucopyranosyl)-indoleacetylaspartate and N-(N-glucopyranosyl)-indoleacetylglutamate were selected as the analytes for quanlity marker of GSDG. After necessary validation tests, the developed quantitative method was successfully put into use for 10 batches of GSDG. In all batches, N-(N-glucopyranosyl)-indoleacetylaspartate was the richest phytochemical with the amount of 17.3–25.7 mg/g while ginkgolide J (0.0197–0.0335 mg/g) was determined to be the poorest.The study is supposed to exhibit a comprehensive chemical profiling and to provide some strong basis for preparation technology, quality control and even for action mechanism of GSDG, this novel form of Chinese medicine.

Automated External Bone Fixation Robot Design and Orthopedic Analysis

Background: Bone external fixation technology is an important therapeutic approach for limb correction, primarily involving a class of external fixation correction mechanisms. It has achieved good results in limb lengthening and correcting deformities to restore limb function. In clinical practice, existing correction mechanisms face challenges such as high resistance between components, complex installation procedures, and high precision requirements for installation, requiring manual adjustment by physicians, which limits precise control and quantification of correction parameters. Objective: To address these issues, an automated correction bone external fixation robot was designed based on traditional Ilizarov external fixation devices(TIEFD). Methods: By increasing the number of unidirectional hinge connections, the robot can effectively reduce motion resistance. Subsequently, the robot was combined with the tibia for correction motion simulation, obtaining the motion parameters θ of the deformed bones during the correction process based on the trajectory of the tibia's point mass. Finally, correction motion experiments and finite element analysis(FEA) were conducted on the robot combined with a control system. Results: The results showed that the robot could precisely control correction parameters, with the error range for rotational correction not exceeding 0.5 radians and the error range for traction correction not exceeding 0.2 mm. FAE, based on corrective force data, concluded that compared to (TIEFD), the robot could reduce bone stress by 16 MPa during the correction process. Conclusion: The robot effectively reduces patient discomfort, this provides a reliable theoretical basis for bone external fixation technology and holds positive significance for the treatment of skeletal deformities.

Overview of recent results from the ST40 compact high-field spherical tokamak

Abstract ST40 is a compact, high-field (BT0 ≤ 2.1T) spherical tokamak (ST) with a mission to expand the physics and technology basis for the ST route to commercial fusion. The ST40 research programme covers confinement and stability; solenoid-free start-up; high-performance operating scenarios; and plasma exhaust. In 2022, ST40 obtained a central deuterium ion temperatures of 9.6 ± 0.4 keV, demonstrating for the first time that pilot plant relevant ion temperatures can be reached in a compact, high-field ST. Analysis of these high-ion temperature plasmas is presented, including a summary of confinement, transport and microstability characteristics and energetic particle instabilities. Recent scenario development activities have focused on establishing diverted H-mode plasma discharges across a range of toroidal fields and plasma currents, along with scenarios with high non-inductive current fractions. In future operations, beginning in 2025, a 1MW dual frequency (104/137 GHz) electron cyclotron (EC) system will be installed to enable the study of EC and electron Bernstein wave plasma start-up and current drive. Predictive modelling of the potential performance of these systems is presented.

Theoretical analysis and technical application of mechanical intelligent manufacturing based on system digital-driven technology

With the accelerating process of global industrialization, the automated fabrication industry, as an important part of the industry, is also developing rapidly. Due to the low efficiency and high resource consumption of traditional manufacturing, it is more important to improve the production efficiency of conventional manufacturing and realize the resource-saving development mode. Due to the characteristics of system digital-driven technology, it can promote the intelligent development of the manufacturing industry. Therefore, the deep integration of system digital-driven technology and manufacturing is conducive to the intelligent promotion of manufacturing. Comparing the difference between the traditional manufacturing industry and the intelligent manufacturing industry, the application potential of system digitalization technology in the manufacturing field is analyzed. Based on the analysis of the theoretical basis of the system digital-driven technology and the application of the system digital technology in the main fields, the importance of the technology for the improvement of the accuracy index in the manufacturing process is emphatically analyzed. The maximum increase can be 5.3%, and the minimum increase can be 3.3%. It can be seen that the deep integration of digital-driven technology and manufacturing can not only improve the intelligent level of manufacturing, realize the intensive development of the industry, but also realize the data sharing of the entire industrial chain.

A threshold method of evaluating the critical trimming stage of FAP surface based on interface friction

Trimming technology is crucial for fixed abrasive pads (FAP) to maintain peak performance and prolonging their lifespan. However, there is a lack of effective evaluation methods for trimming FAP, which leads to under-trimming and over-trimming of FAP. As a result, it is very important to recognize and evaluate the critical trimming stage of the FAP. Therefore, the discriminative method for trimming FAP based on interfacial friction is proposed to determine the optimal trimming stage of FAP. Firstly, according to lapping experiments and tribological experiments of the FAP, the mapping relationship between the characteristics of interfacial friction and the parameters related to the FAP surface has been established. Secondly, the specific indices were identified to evaluate the surface state of FAP by the SEM analysis and mapping relationship of the FAP. Finally, the trimming thresholds of FAP were determined by combining the receiver operating characteristic (ROC) curves and Youden index, and the threshold achieved an average accuracy of over 92 % in recognizing the trimming requirements of the FAP. This research provides the theoretical basis for the online trimming technology and intelligent processing of FAP.

Foods of the Future: Challenges, Opportunities, Trends, and Expectations.

Creating propositions for the near and distant future requires a design to catch the tide of the times and move with or against trends. In addition, appropriate, adaptable, flexible, and transformational projects are needed in light of changes in science, technology, social, economic, political, and demographic fields over time. Humanity is facing a period in which science and developing technologies will be even more important in solving food safety, health, and environmental problems. Adapting to and mitigating climate change; reducing pollution, waste, and biodiversity loss; and feeding a growing global population with safe food are key challenges facing the agri-food industry and the food supply chain, requiring systemic transformation in agricultural systems and sustainable future agri-food. The aim of this review is to compile scientific evidence and data, define, and create strategies for the future in terms of food security, safety, and sufficiency; future sustainable foods and alternative protein sources; factors affecting food and nutrition security and agriculture; and promising food systems such as functional foods, novel foods, synthetic biology, and 3D food printing. In this review, the safety, conservation, nutritional, sensory, welfare, and potential challenges and limitations of food systems and the opportunities to overcome them on the basis of new approaches, innovative interpretations, future possibilities, and technologies are discussed. Additionally, this review also offers suggestions for future research and food trends in light of future perspectives. This article focuses on future sustainable foods, alternative protein sources, and novel efficient food systems, highlights scientific and technological advances and new research directions, and provides a significant perspective on sustainability.

CuO Nanoparticles Reduce Toxicity and Enhance Bioaccumulation of Cadmium and Lead in the Cells of the Microalgae Desmodesmus communis.

The removal of pollutants, including heavy metals, from the aquatic environment is an urgent problem worldwide. Actively developing nanotechnology areas is becoming increasingly important for solving problems in the field of the remediation of aquatic ecosystems. In particular, methods for removing pollutants using nanoparticles (NPs) are proposed, which raises the question of the effect of a combination of NPs and heavy metals on living organisms. In this work, we investigated the role of CuO-NPs in changing the toxicity of Cd and Pb salts, as well as the bioaccumulation of these elements in a culture of the microalga Desmodesmus communis. It was found that CuO-NPs at concentrations of 10, 100, and 1000 µg L-1 had no effect on the viability of microalgae cells. On the 14th day of the experiment, Cd at a concentration of 1 mg L-1 reduced the viability index by 30% and, when combined with CuO-NPs, by 25%, i.e., CuO-NPs slightly reduced the toxic effect of Cd. At the same time, in this experiment, when CuO-NPs and Cd were used together, the level of oxidative stress increased, including on the first day in mixtures with 1 mg L-1 Cd. Under the influence of Pb, the cell viability index decreased by 70% by the end of the experiment, regardless of the metal concentration. The presence of CuO-NPs slightly reduced the toxicity of Pb in terms of viability and reactive oxygen species (ROS). At the same time, unlike Cd, Pb without NPs caused ROS production on the first day, whereas the addition of CuO-NPs completely detoxified Pb at the beginning and had a dose-dependent effect on mixtures at the end of the experiment. Also, the introduction of CuO-NPs slightly reduced the negative effect of Pb on pigment synthesis. As a molecular mechanism of the observed effects, we prioritized the provocation of oxidative stress by nanoparticles and related gene expression and biochemical reactions of algae cells. Analysis of the effect of CuO-NPs on the Cd and Pb content in microalgae cells showed increased accumulation of heavy metals. Thus, when algae were cultured in an environment with Cd and CuO-NPs, the Cd content per cell increased 4.2 times compared to the variant where cells were cultured only with Cd. In the case of Pb, the increase in its content per one cell increased 6.2 times when microalgae were cultured in an environment containing CuO-NPs. Thus, we found that CuO-NPs reduce the toxic effects of Cd and Pb, as well as significantly enhance the bioaccumulation of these toxic elements in the cells of D. communis microalgae. The results obtained can form the basis of technology for the nanobioremediation of aquatic ecosystems from heavy metals using microalgae.