Practices

BRICS Solution Awards
A Study on Chemical Conditioning Separation and Interface Modulation Mechanism of High Emulsified Oily Sludge
A Study on Chemical Conditioning Separation and Interface Modulation Mechanism of High Emulsified Oily Sludge
Technologies to improve natural resource extraction

A Study on Chemical Conditioning Separation and Interface Modulation Mechanism of High Emulsified Oily Sludge

Oily sludge is a kind of solid waste generated during the process of crude oil exploitation, storage, transportation, and refining, and is one of the main pollutants in the petroleum industry. With the increasing scale of oil exploitation, the generated oily sludge is significantly increasing. Long term exposure of oily sludge to the air leads to the accumulation of heavy oil because of the volatilization of light oil, then resulting in high emulsification stability of oily sludge. This project aims to address the technical issue of high emulsification stability of oily sludge. Efficient chemical conditioning agents are developed, by synthesizing polymer chemical agents and compounding them with other additives, to reduce the emulsification stability of oily sludge. The change rules of interfacial tension between oil and water and surface tension of oil solid particles are studied through chemical conditioning.

Enchanting Fusion: Virtual Screening Unleashing the Potential of Breast Cancer Medications through Molecular Docking
Enchanting Fusion: Virtual Screening Unleashing the Potential of Breast Cancer Medications through Molecular Docking
Technologies for human health

Enchanting Fusion: Virtual Screening Unleashing the Potential of Breast Cancer Medications through Molecular Docking

Cancer drug works by binding to the receptor and blocking the ever growing cell. The discovery of these drugs molecules requires intensive research and collaboration from different departments. By the study, i used some preexisting software to make my work easy and perform the virtual screening and Molecular Docking as mention in the report below. These techniques are not new but required more computation power and ever growing database of compounds. Through the study, natural compounds have been identified in the research.

CRUDERRA
CRUDERRA
Artificial intelligence

CRUDERRA

Create docs to speed up development, onboarding & legacy code modernization

Analysis of Sustainable Development Goals (SDGs) of Russian regions according to the United Nations (UN) criteria. Case of the Rostov region
Analysis of Sustainable Development Goals (SDGs) of Russian regions according to the United Nations (UN) criteria. Case of the Rostov region
Big data storage and analysis

Analysis of Sustainable Development Goals (SDGs) of Russian regions according to the United Nations (UN) criteria. Case of the Rostov region

The UN SDGs are a set of 17 goals for the environmentally, socially and economically sustainable development and conservation of social, cultural, biological and physical systems. 1. eradicate poverty; 2. eradication of hunger; 3. Good health and well-being; 4. Quality education; 5. Gender equality; 6. Clean water and sanitation; 7. Affordable and clean energy; 8. Decent jobs and economic growth; 9. Industrialization, innovation and infrastructure; 10. Reducing inequality; 11. Sustainable cities and human settlements; 12. responsible consumption and production; 13. Combating climate change; 14. Conservation of marine ecosystems; 15. Conservation of terrestrial ecosystems; 16. Peace, justice and effective institutions; 17. Partnerships for sustainable development. As a result of the practice implementation, the following was done: 1) Analyzed the quality of the baseline indicators of the SDGs of the RO, eliminated gaps and outliers; 2) SDG indicators were normalized, necessary data transformations were carried out; 3) Correlations between indicators and SDGs were identified on the basis of correlation and other types of analysis; 4) Clustering of indicators and regrouping of SDGs of the RO were carried out; 5) Analyzed the dynamics of indicators of RO SDGs; 6) The possibility of applying models for time series analysis (ARIMA, ARCH, GARCH) was checked; 7) Interval estimation of the values of the RO SDG indicators for 2023-2024 using ARIMA, ARCH, GARCH models for time series analysis was obtained; 8) The reliability of the obtained forecasts was assessed based on the results of the analysis of the state and dynamics of the RO SDGs for 2023 (big data). The following technology stack was used: PostgreSQL 11 MADlib 2.1.0 Python Java 17, Spring 6

Eco-environmental Conservation Red Lines (ECRLs) Map Project
Eco-environmental Conservation Red Lines (ECRLs) Map Project
Geographic information systems

Eco-environmental Conservation Red Lines (ECRLs) Map Project

Chinese government implements strict measures of protecting core ecological area and established Eco-environmental Conservation Red Lines, which are conservation borsers set by governemnt indicating the areas that must be protected strictly. In this way, projects violating ECRLs should not receive financing service. ICBC's Eco-environmental Conservation Red Lines Map Project is mainly based on the Chinese government’s Eco-environmental Conservation Red Lines(ECRLs). Implementing ECRLs Map Project, ICBC embedded the requirements of ECRLs into the process of project loans, allowing its Global Credit Management System(GCMS) to automatically determine whether the project is within the scope of the eco-environmental conservation area. The projects in ECRLs will be carefully assessed for ecological environment risks by loan officers. Except for special cases such as ecological protection projects, financing support for those projects will not be provided by ICBC.

Generative AI-Driven High-Speed Robotic Recycling
Generative AI-Driven High-Speed Robotic Recycling
Technologies for the healthy environment

Generative AI-Driven High-Speed Robotic Recycling

Waste management faces significant challenges with traditional sorting methods being labor-intensive, inefficient, and prone to error. These manual processes expose workers to hazardous materials, reduce sorting speed, and lower recycling rates, leading to environmental pollution and increased landfill use. To tackle these issues, we are developing Generative AI driven High-Speed Robotic Recycling. This system integrates advanced robotics, AI, and machine vision to automate and improve waste sorting, enhancing efficiency, accuracy, and safety. Delta robots and custom-built arms handle the sorting, while AI, including deep learning and reinforcement learning, optimizes detection and decision-making. High-resolution cameras and AI-driven image processing ensure accurate waste categorization. Inspired by successful projects like RecyBot, a high-speed recycling robot developed by Prof. Dzmitry Tsetserukou (the co-owner of the present practice) and MIT, our solution aims to lead in sustainable waste management across BRICS nations. By automating the process, we reduce labor risks, increase sorting speed and accuracy, and significantly boost recycling rates, contributing to environmental sustainability.

S.M.Art Metals
Longlist
S.M.Art Metals
Technologies for the healthy environment

S.M.Art Metals

S.M.Art Metals – it’s the deep-tech innovative project which main element is the technology of low-cost iron-containing nanopowders obtaining via groundwater treatment plants technogenic wastes. The key, global problem that the project is aimed at solving is reducing water stress around the world. Taking into account the dynamics of increasing the share of groundwater use related to non-renewable sources, our goal is to make their use rational, including by reducing the costs of using deep underground water sources and/or having a high share of natural mineralization. More info -- via the link: https://disk.yandex.ru/d/8KJv3Ih_82QKHA

Regional permafrost monitoring system in natural test sites
Longlist
Regional permafrost monitoring system in natural test sites
Climate change control technologies

Regional permafrost monitoring system in natural test sites

Temperatures in the Arctic has risen to two or three times faster than the rest of the plane in the last 50 year to two to three degrees Celsius above pre-industrial levels. As permafrost (permafrost is a permanently frozen land ) thaws away due to the warming climate, it poses threats to the environment, infrastructure, and human lives. Covering a quarter of the northern hemisphere landmass, mainly above the Arctic Circle, permafrost is believed to contain around 1.7 trillion tonnes of carbon in a state of organic matter. It accounts for twice the amount of carbon dioxide already in the atmosphere. Permafrost thaw could send these vast amounts of methane and carbon dioxide into the atmosphere, causing further warming and creating a feedback loop of melting and more gas emissions. In Norilsk agglomeration infrastructure, buildings and transportation networks are constructed over a permafrost base, which is vulnerable to changes to climate and rapidly warming Arctic temperatures. This can spell disaster for the structures above, damaging buildings and roads as the permafrost degrades beneath. Permafrost thaw also releases damaging contaminants into the ecosystem, impacting food chains and community health. Climate change-related increases in costs (economic losses or damage) are estimated for several climate futures by 2050 separately for 39 municipalities located in the Russian Arctic permafrost domain. The economic losses (according calculation of scientists) were evaluated as maximum and minimum values at extreme values of permafrost parameters, separately for each case. The greatest damage is expected to housing stock and buildings and structures of main economic sectors. The potential damage for Russian Arctic may reach up to US$ 132 billion (total) and ~ US$ 15 billion for residential infrastructure alone. The UN has set one of the main goals for sustainable development in the world until 2030 to take urgent measures to combat climate change and its consequences. Permafrost monitoring system in natural test sites is necessary to assess the current state of permafrost and develop scientifically based forecast models and measures to adapt to climate change in the region.

 Belt and Road Bankers Roundtable
 Belt and Road Bankers Roundtable
Teams, leaders of projects and solutions in the field of blockchain (distributed ledger) technologies, artificial intelligence, the Internet of Things, digital twins, cognitive technologies and unmanned aircraft systems

Belt and Road Bankers Roundtable

In order to better support building the Belt & Road and promote financial connectivity cooperation, ICBC hosted the first Belt and Road Bankers Roundtable in May, 2017 during the first Belt & Road Forum for International Cooperation (BRF) under the guidance of People’s Bank of China (PBoc). The meeting issued the BRBR Beijing Joint Declaration, marking the establishment of the Belt and Road Bankers Roundtable (BRBR), which became the only initiative from a commercial institution in the official outcome list of the inaugural BRF.

Digital Advisor as a Means of Designing an Individual Educational Trajectory for Students
Digital Advisor as a Means of Designing an Individual Educational Trajectory for Students
Teams, leaders of projects and solutions in the field of blockchain (distributed ledger) technologies, artificial intelligence, the Internet of Things, digital twins, cognitive technologies and unmanned aircraft systems

Digital Advisor as a Means of Designing an Individual Educational Trajectory for Students

Insufficient information and analytical activities of students during their internship; lack of coordination between internship supervisors and employers in developing uniform requirements for types of internships; insufficient monitoring of internship results. It is proposed to introduce a digital advisor that will solve the problem of employers' needs for specialists based on the requirements of professional standards; coordination of the regulatory framework for training specialists with labor market demands; determination of organizational and pedagogical conditions for the implementation of students' professional training. The digital student advisor (DS) is an intelligent digital system that provides the student with a professional and educational strategy for mastering the necessary professional skills in educational activities for various types of practices, internships and other events at the basic department, as a means of designing an individual educational trajectory for students. It can operate o

VR.SHI | Cross-cultural project of visualzation of Russian and Chinese poetry in VR
Winner
VR.SHI | Cross-cultural project of visualzation of Russian and Chinese poetry in VR
A joint (cross-country) digital creative product (films, video games, animation, sound, graphics, digital design) created by companies from two or more BRICS+ countries

VR.SHI | Cross-cultural project of visualzation of Russian and Chinese poetry in VR

Problem: Traditional forms of poetry and art are limited in their ability to fully immerse the audience in the meaning and emotions of the work. Additionally, there's a need for innovative methods of cultural exchange and language learning. Solution: VR.SHI offers a unique solution by combining poetry, visual art, and virtual reality. The project transforms poems into interactive 3D environments where each word becomes a visual art object reflecting its meaning and context. This creates a full immersion of the viewer into a "living, painted poem," allowing for a deeper understanding of its meaning and emotional content.

Creative Factory TAKO
Longlist
Creative Factory TAKO
Art projects created using creative technologies

Creative Factory TAKO

The problem lies in the fact that students often do not have access to real projects and advanced technologies during their studies. Our solution is "Creative Factory TAKO," an innovative design studio that uses a diffusion neural network to create unique designs and offers students the opportunity to work on real cases. We work on branding for technopark residents and other companies, allowing students to gain practical experience and enhance their professional skills. Our project is supported by universities and validated by positive reviews and awards.

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